1. Hypothyroidism (Exclusion of Afirmative Responses: YES = 1).
2. Hyperthyroidism (Exclusion of Afirmative Responses: YES = 1).
3. Using birth control pills, progesterone, or fertility drugs (Exclusion of Afirmative Responses: YES = 1).
4. Menstrual Regular cycles (Exclusion of Negative Responses: NO = 0 ).
5. ASR DSM-Depresive problems (Exclusion of T Scores > 65)
6. ASR DSM-Anxiety problems (Exclusion of T Scores > 65)
7. ASR DSM-Somatic problems (Exclusion of T Scores > 65)
8. ASR DSM- Avoidant personality problems (Exclusion of T Scores > 65)
9. ASR DSM Attention deficit and hyperactivity problems (Exclusion of T Scores > 65)
10. ASR DSM Antisocial personality problems (Exclusion of T Scores > 65)
11. Presence of panic disorders at some time in life (Exclusion of responses:1=Yes)
12. Presence of agoraphobia disorder at some point in life (Exclusion of responses:5=Yes)
13. Alcohol consumption above 0.05 using breath analyzer (Exclusion of responses = TRUE).
14. Alcohol consumption above 0.08 using a breath analyzer (Exclusion of responses = TRUE).
15. Cocaine consumption (Exclusion of responses = TRUE).
16. THC consumption (Exclusion of responses = TRUE)
17. Opioids consumption (Exclusion of responses = TRUE).
18. Amphetamine consumption (Exclusion of responses = TRUE).
19. Methamphetamine consumption (Exclusion of responses = TRUE).
20. Oxycontin consumption (Exclusion of responses = TRUE).
21. SSAGA DSM-IV Alcohol abuse at some point in life (Exclusion of responses: 5=YES).
22. Fagerstrom Test nicotine dependence (Exclusion of Scores >= 6)
23. Acquired Freesurfer measures
24. Subjects with brain structural abnormalities (coded A-B) found in the HCP Quality Control process.
For more information related to brain structural abnormalities, see the QC Issues wiki: A= Focal anatomical anomaly (e.g. calcification, cavernoma, cyst, etc.) found in T1w and/or T2w scans in a restricted brain region; B= Focal segmentation or surface error(s) in outputs from the HCP Structural pipeline
data_connectome_filtered <- data_connectome_complete %>% dplyr::filter(
is.na(Hypothyroidism)|Hypothyroidism!=1,
is.na(Hyperthyroidism)|Hyperthyroidism!=1,
is.na(OtherEndocrn_Prob)|OtherEndocrn_Prob!=1,
is.na(Menstrual_UsingBirthControl)|Menstrual_UsingBirthControl !=1,
is.na(Menstrual_RegCycles)|Menstrual_RegCycles !=0,
is.na(DSM_Depr_T)|DSM_Depr_T<=69,
is.na(DSM_Anxi_T)|DSM_Anxi_T<=69,
is.na(DSM_Somp_T)|DSM_Somp_T<=69,
is.na(DSM_Avoid_T)|DSM_Avoid_T<=69,
is.na(DSM_Adh_T)|DSM_Adh_T<=69,
is.na(DSM_Antis_T)|DSM_Antis_T<=69,
is.na(SSAGA_PanicDisorder)|SSAGA_PanicDisorder !=1,
is.na(SSAGA_Agoraphobia)|SSAGA_Agoraphobia !=5,
is.na(Breathalyzer_Over_05)|Breathalyzer_Over_05 == "FALSE",
is.na(Breathalyzer_Over_08)|Breathalyzer_Over_08 == "FALSE",
is.na(Cocaine)|Cocaine == "FALSE",
is.na(THC)|THC == "FALSE",
is.na(Opiates)|Opiates == "FALSE",
is.na(Amphetamines)|Amphetamines == "FALSE",
is.na(MethAmphetamine)|MethAmphetamine == "FALSE",
is.na(Oxycontin)|Oxycontin == "FALSE",
is.na(SSAGA_Alc_D4_Ab_Dx)|SSAGA_Alc_D4_Ab_Dx == 1,
is.na(SSAGA_FTND_Score)|SSAGA_FTND_Score < 6,
FS_IntraCranial_Vol >0,
is.na(QC_Issue)|QC_Issue %in% c("C", "C D", "C D E")
) data_connectome_filtered_racial_identity <- data_connectome_filtered %>% filter(Racial_identity %in% c("Black or African Am.", "White"),Ethnicity %in% c("Not Hispanic/Latino", "Unknown or Not Reported"))
##SSAGA_income = Total household income: <$10,000 = 1,10K-19,999 = 2, 20K-29,999 = 3,30K-39,999 = 4, 40K-49,999 = 5, 50K-74,999 = 6, 75K-99,999 = 7, >=100,000 = 8
data_connectome_filtered_racial_identity$Racial_identity <- factor(data_connectome_filtered_race_factor$Racial_identity, levels = c("White","Black or African Am."),labels = c("0","1"))
data_connectome_filtered_racial_identity$Gender <-factor(data_connectome_filtered_race_factor$Gender, levels = c("M","F"),labels = c("0","1"))
data_connectome_filtered_racial_identityr$Gender <-factor(data_connectome_filtered_race_factor$Gender, levels = c("0","1"),labels = c("M","F"))
data_connectome_filtered_racial_identity$Racial_identity <- factor(data_connectome_filtered_race_factor$Racial_identity, levels = c("0","1"),labels = c("White","Black or African Am."))
data_connectome_filtered_racial_identity$SSAGA_Income <- factor(data_connectome_filtered_race_factor$SSAGA_Income, levels = c("1","2","3","4","5","6","7","8"),labels = c("<$10000","10K-19999","20K-29999","30K-39999","40K-49999", "50K-74999","75K-99999", ">=100000"))
## There was an error in 'add_p()/add_difference()' for variable 'SSAGA_Income', p-value omitted:
## Error in stats::fisher.test(structure(c(4L, 7L, 3L, 7L, 6L, 3L, 3L, 7L, : FEXACT error 7(location). LDSTP=18600 is too small for this problem,
## (pastp=46.6049, ipn_0:=ipoin[itp=7]=2845, stp[ipn_0]=39.9607).
## Increase workspace or consider using 'simulate.p.value=TRUE'
| N | Racial Identity | p-value2 | ||
|---|---|---|---|---|
| White, N = 3381 | Black or African Am., N = 561 | |||
| Age (y) | 394 | 29.12 (3.60) | 29.25 (3.62) | 0.801 |
| Sex | 394 | 0.035 | ||
| M | 190 (56%) | 23 (41%) | ||
| F | 148 (44%) | 33 (59%) | ||
| Education(y) | 392 | 15.15 (1.69) | 14.41 (1.90) | 0.007 |
| Unknown | 2 | 0 | ||
| Economic Income | 391 | |||
| <$10000 | 12 (3.6%) | 7 (12%) | ||
| 10K-19999 | 22 (6.6%) | 10 (18%) | ||
| 20K-29999 | 34 (10%) | 9 (16%) | ||
| 30K-39999 | 32 (9.6%) | 10 (18%) | ||
| 40K-49999 | 39 (12%) | 5 (8.9%) | ||
| 50K-74999 | 76 (23%) | 8 (14%) | ||
| 75K-99999 | 53 (16%) | 1 (1.8%) | ||
| >=100000 | 67 (20%) | 6 (11%) | ||
| Unknown | 3 | 0 | ||
|
1
Mean (SD); n (%)
2
Welch Two Sample t-test; Pearson's Chi-squared test
|
||||
volumetry_data_connectome_filtered <- data_connectome_filtered_racial_identity %>% select(c(## Colums numbers of volumetric measures))
# FS_IntraCranial_Vol = Free Surfer intracraneal volume measures
volumetry_data_connectome_filtered_normalized_icv <- volumetry_data_connectome_filtered %>% lapply(function(x) x/volumetry_data_connectome_filtered$FS_IntraCranial_Vol) %>% as.data.frame() %>% select(-1)
# Filtered database binding with normalized brain volumetric data
data_connectome_filtered_with_volumetry_normalized_icv <- cbind(data_connectome_filtered_racial_identity,volumetry_data_connectome_filtered_normalized_icv)
permutational_ancova_volumetry_corrected_intracraneal %>% na.omit() %>% select(c(2,6:17,24:62)) %>%
dplyr::rename(
"Brain Seg"= BrainSeg_Vol,
"Brain Seg No Vent" = BrainSeg_Vol_No_Vent,
"Brain Seg No Vent Surf" = BrainSeg_Vol_No_Vent_Surf,
"Left Cortical GM" = LCort_GM_Vol,
"Right Cortical GM" =RCort_GM_Vol,
"Cortical GM" = TotCort_GM_Vol,
"Subcortical GM" = SubCort_GM_Vol,
"Total GM" = Total_GM_Vol,
"SupraTentorial" = SupraTentorial_Vol,
"Left WM" = L_WM_Vol,
"Right WM" = R_WM_Vol,
"Total WM" = Tot_WM_Vol,
"Left Lat Ventricle" = LatVent_Vol,
"Left Inf Lat Ventricle" = L_InfLatVent_Vol,
"Left Cerebellum WM" = L_Cerebellum_WM_Vol,
"Left Cerebellum Cortex" = L_Cerebellum_Cort_Vol,
"Left Thalamus Proper" = L_ThalamusProper_Vol,
"Left Caudate" = L_Caudate_Vol,
"Left Putamen" = L_Putamen_Vol,
"Left Pallidum" = L_Pallidum_Vol,
"3rd Ventricle" = `3rdVent_Vol`,
"4th Ventricle" = `4thVent_Vol`,
"Brain Stem" = BrainStem_Vol,
"Left Hippocampus" = L_Hippo_Vol,
"Left Amygdala"= L_Amygdala_Vol,
"CSF" = CSF_Vol,
"Left Accumbens Area" = L_AccumbensArea_Vol,
"Left Vent Diencephalon" = L_VentDC_Vol,
"Left Vessel" = L_Vessel_Vol,
"Left Choroid Plexus" = L_ChoroidPlexus_Vol,
"Right Lat Ventricle"= R_LatVent_Vol,
"Right Inf Lat Ventricle"= R_InfLatVent_Vol,
"Right Cerebellum WM"=R_Cerebellum_WM_Vol,
"Right Cerebellum Cortex" = R_Cerebellum_Cort_Vol,
"Right Thalamus Proper" = R_ThalamusProper_Vol,
"Right Caudate" = R_Caudate_Vol,
"Right Putamen" = R_Putamen_Vol,
"Right Pallidum" = R_Pallidum_Vol,
"Right Hippocampus" = R_Hippo_Vol,
"Right Amygdala"= R_Amygdala_Vol,
"Right Accumbens Area" = R_AccumbensArea_Vol,
"Right Vent Diencephalon"= R_VentDC_Vol,
"Right Vessel" = R_Vessel_Vol,
"Right Choroid Plexus"= R_ChoroidPlexus_Vol,
"5th Ventricle" = `5thVent_Vol`,
"Optic Chiasm" = OpticChiasm_Vol,
"CC Posterior"= CC_Posterior_Vol,
"CC MidPosterior"= CC_MidPosterior_Vol,
"CC Central" = CC_Central_Vol,
"CC MidAnterior" = CC_MidAnterior_Vol,
"CC Anterior" = CC_Anterior_Vol) %>% tbl_summary(by = Racial_identity, statistic = list(all_continuous() ~ "{mean} ({sd})"), digits = all_continuous() ~ function(x) format(x, format = "e", digits = 4)) %>%
modify_header(label ~ "**Brain Regions**") %>% as_gt()| Brain Regions | White, N = 3351 | Black or African Am., N = 561 |
|---|---|---|
| Brain Seg | 0.7478 (0.03997) | 0.7674 (0.07524) |
| Brain Seg No Vent | 0.7362 (0.04067) | 0.7548 (0.07559) |
| Brain Seg No Vent Surf | 0.7350 (0.04062) | 0.7536 (0.07550) |
| Left Cortical GM | 0.1599 (0.01084) | 0.1617 (0.01692) |
| Right Cortical GM | 0.1636 (0.01053) | 0.1653 (0.01732) |
| Cortical GM | 0.3235 (0.02109) | 0.3269 (0.03418) |
| Subcortical GM | 0.03834 (0.002698) | 0.04055 (0.005034) |
| Total GM | 0.4351 (0.02552) | 0.4407 (0.04499) |
| SupraTentorial | 0.6544 (0.03746) | 0.6726 (0.06674) |
| Left WM | 0.1400 (0.01035) | 0.1456 (0.01530) |
| Right WM | 0.142 (0.01041) | 0.148 (0.01591) |
| Total WM | 0.2820 (0.02072) | 0.2936 (0.03118) |
| Left Lat Ventricle | 0.004069 (0.002128) | 0.004386 (0.001942) |
| Left Inf Lat Ventricle | 0.0001345 (7.563e-05) | 0.0001337 (7.621e-05) |
| Left Cerebellum WM | 0.009156 (0.001009) | 0.009890 (0.001650) |
| Left Cerebellum Cortex | 0.03637 (0.003116) | 0.03627 (0.004179) |
| Left Thalamus Proper | 0.005314 (0.0004950) | 0.005662 (0.0007313) |
| Left Caudate | 0.002389 (0.0002699) | 0.002561 (0.0003973) |
| Left Putamen | 0.003470 (0.0004249) | 0.003669 (0.0006941) |
| Left Pallidum | 0.0008439 (0.0001306) | 0.0009094 (0.0002019) |
| 3rd Ventricle | 0.0004760 (0.0001241) | 0.0004903 (0.0001525) |
| 4th Ventricle | 0.001090 (0.0003352) | 0.001153 (0.0004072) |
| Brain Stem | 0.01375 (0.001411) | 0.01463 (0.002037) |
| Left Hippocampus | 0.002798 (0.0002746) | 0.002896 (0.0003114) |
| Left Amygdala | 0.0009859 (0.0001046) | 0.0010127 (0.0001142) |
| CSF | 0.0006649 (0.0001156) | 0.0006931 (0.0001229) |
| Left Accumbens Area | 0.0003560 (5.225e-05) | 0.0003732 (6.880e-05) |
| Left Vent Diencephalon | 0.002658 (0.0002414) | 0.002766 (0.0004031) |
| Left Vessel | 4.431e-05 (2.552e-05) | 4.492e-05 (3.257e-05) |
| Left Choroid Plexus | 0.0006879 (0.0001265) | 0.0007718 (0.0001564) |
| Right Lat Ventricle | 0.003753 (0.001902) | 0.004146 (0.001875) |
| Right Inf Lat Ventricle | 0.0001381 (8.761e-05) | 0.0001500 (8.713e-05) |
| Right Cerebellum WM | 0.009315 (0.001034) | 0.010071 (0.001618) |
| Right Cerebellum Cortex | 0.03739 (0.003251) | 0.03741 (0.004374) |
| Right Thalamus Proper | 0.004650 (0.0004254) | 0.005033 (0.0006962) |
| Right Caudate | 0.002467 (0.0002746) | 0.002643 (0.0003947) |
| Right Putamen | 0.003502 (0.0003690) | 0.003684 (0.0006193) |
| Right Pallidum | 0.000927 (0.0001037) | 0.001005 (0.0001865) |
| Right Hippocampus | 0.00283 (0.0002505) | 0.00296 (0.0003008) |
| Right Amygdala | 0.001037 (0.0001166) | 0.001073 (0.0001281) |
| Right Accumbens Area | 0.0003801 (5.413e-05) | 0.0003955 (6.519e-05) |
| Right Vent Diencephalon | 0.002673 (0.0002312) | 0.002813 (0.0003966) |
| Right Vessel | 4.94e-05 (2.359e-05) | 5.08e-05 (3.158e-05) |
| Right Choroid Plexus | 0.0007852 (0.0001559) | 0.0008843 (0.0002290) |
| 5th Ventricle | 2.553e-06 (3.227e-06) | 2.376e-06 (3.645e-06) |
| Optic Chiasm | 0.0001423 (2.936e-05) | 0.0001660 (3.156e-05) |
| CC Posterior | 0.0005998 (9.114e-05) | 0.0006727 (1.129e-04) |
| CC MidPosterior | 0.0002950 (6.533e-05) | 0.0003024 (7.683e-05) |
| CC Central | 0.0003151 (7.108e-05) | 0.0003310 (6.916e-05) |
| CC MidAnterior | 0.0003113 (6.725e-05) | 0.0003322 (7.376e-05) |
| CC Anterior | 0.0005577 (8.614e-05) | 0.0006323 (9.232e-05) |
|
1
Mean (SD)
|
||
# permutational_ancova_volumetry_corrected_intracraneal[,c("columns with volumetric data")]
set.seed(1234)
modpermut_volumetry_corrected_intracraneal_adjage_gender_educ_income <- lapply(permutational_ancova_volumetry_corrected_intracraneal[,c(6:17,24:62)], function(x) aovp(x ~ permutational_ancova_volumetry_corrected_intracraneal$Racial_identity+ permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs + permutational_ancova_volumetry_corrected_intracraneal$Gender + permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ+ permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income))## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.01003
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00219
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.01533
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00002
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00604
## Residuals 0.81660
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0100273
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0021880
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0153330
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000209
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0008624
## Residuals 0.0021546
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1470
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1450
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1253
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.06395
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.06483
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00080
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.89385
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity .
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00835
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00157
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.01777
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00005
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00720
## Residuals 0.83531
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0083453
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0015664
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0177727
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000537
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0010283
## Residuals 0.0022040
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1269
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 68
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 818
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.07329
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.90196
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.60294
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.82396
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity .
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00827
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00162
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.01748
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00006
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00712
## Residuals 0.83344
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0082713
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0016163
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0174818
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000551
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0010177
## Residuals 0.0021990
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 365
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 369
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0146
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.2164
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.7451
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.9241
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.000010
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.000365
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.002511
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000005
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.000343
## Residuals 0.051947
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00001050
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00036460
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00251055
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000519
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00004902
## Residuals 0.00013706
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 620
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.6667
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.7843
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0000
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.000007
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.000265
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.001899
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000003
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.000394
## Residuals 0.051061
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00000739
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00026507
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00189856
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000264
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00005629
## Residuals 0.00013472
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 85
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1597
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 550
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.54118
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.05949
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.66909
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.000036
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.001251
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.008776
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000015
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.001381
## Residuals 0.201885
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0000355
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0012514
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0087755
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000152
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0001973
## Residuals 0.0005327
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1501
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 262
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.98039
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.06262
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.84733
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.000137
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.001233
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.016548
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000021
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.003794
## Residuals 0.307344
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0001373
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0012326
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0165482
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000206
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0005421
## Residuals 0.0008109
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 230
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 738
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.3043
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.8627
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.7995
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0001125
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0000000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0003179
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000002
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0000552
## Residuals 0.0034183
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00011254
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00000004
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00031786
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000017
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00000788
## Residuals 0.00000902
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1122
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.5392
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00910
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00226
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.01081
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00006
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00407
## Residuals 0.69229
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0090984
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0022554
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0108103
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000630
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0005810
## Residuals 0.0018266
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2614
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1061
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 802
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.03711
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.08671
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.01740
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.88235
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.00000
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.001130
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.001358
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.000000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000059
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.000392
## Residuals 0.046560
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00112980
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00135782
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00000005
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00005911
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00005603
## Residuals 0.00012285
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 801
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0004
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.9412
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.9139
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs ***
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.001333
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.001500
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.000000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000043
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.000471
## Residuals 0.047728
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00133328
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00150020
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00000029
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00004328
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00006732
## Residuals 0.00012593
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 977
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.6428
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs ***
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.004918
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.005713
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.000001
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.000204
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.001719
## Residuals 0.187826
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0049177
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0057126
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0000006
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0002035
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0002455
## Residuals 0.0004956
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 450
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.9244
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs ***
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00001242
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00000774
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00002102
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000032
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00004496
## Residuals 0.00163841
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.2423e-05
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 7.7439e-06
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.1022e-05
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 3.1950e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 6.4222e-06
## Residuals 4.3230e-06
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 3021
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1702
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5000
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.03211
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.05582
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00660
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.34140
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender **
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.2000e-10
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.6800e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.1100e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.9700e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.8970e-08
## Residuals 2.1952e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.1550e-10
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.6838e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.1144e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.9702e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 4.1384e-09
## Residuals 5.7920e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00002242
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00000001
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00000492
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000034
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00000706
## Residuals 0.00047668
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.2416e-05
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 8.4000e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 4.9237e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 3.4310e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0089e-06
## Residuals 1.2577e-06
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2402
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0104
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0158
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.5354
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0000104
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0000001
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0000765
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000002
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0001621
## Residuals 0.0039539
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0392e-05
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 8.8000e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 7.6539e-05
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.6200e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.3156e-05
## Residuals 1.0432e-05
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1160
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5000
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.08017
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00040
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.02300
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity .
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9800e-06
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.7400e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 6.7380e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.2000e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0300e-06
## Residuals 1.0091e-04
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9799e-06
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.7390e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 6.7376e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.1800e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.4710e-07
## Residuals 2.6630e-07
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1626
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 800
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.05843
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.72125
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 6.6640e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.8900e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.6891e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 3.1000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.7780e-07
## Residuals 2.9802e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 6.6637e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.8950e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.6891e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 3.0600e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.9690e-08
## Residuals 7.8630e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1505
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.6863
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.6997
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.5000e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.0600e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.9540e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.6200e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.3830e-06
## Residuals 8.2894e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.5039e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.0597e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.9545e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.6165e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.9757e-07
## Residuals 2.1872e-07
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2221
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 330
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1219
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.04322
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.78431
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.23333
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.54061
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.3800e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.7800e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.1600e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.0000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.6600e-08
## Residuals 7.7774e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.3798e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.7777e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.1634e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.9710e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.3803e-08
## Residuals 2.0521e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 594
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 87
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 488
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.1448
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.6863
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.5402
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.4816
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.6200e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0200e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 7.1800e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.5000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.7300e-08
## Residuals 6.2679e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.6215e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0247e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 7.1818e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.5270e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.3230e-09
## Residuals 1.6538e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 820
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.6667
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.7647
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0144
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.9110
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0900e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0200e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.2000e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.6000e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.2620e-06
## Residuals 4.5084e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0929e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0178e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.1953e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.5644e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.8022e-07
## Residuals 1.1895e-07
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 255
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 356
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2459
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 136
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3221
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.28235
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.22191
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.03945
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.42647
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.11270
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 3.0000e-13
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.5000e-12
## permutational_ancova_volumetry_corrected_intracraneal$Gender 9.7000e-12
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000e-13
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 4.6600e-11
## Residuals 4.1485e-09
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.7370e-13
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.4853e-12
## permutational_ancova_volumetry_corrected_intracraneal$Gender 9.7394e-12
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 5.0200e-14
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 6.6513e-12
## Residuals 1.0946e-11
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00002390
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00000695
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00002967
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000032
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00000968
## Residuals 0.00083209
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.3899e-05
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 6.9470e-06
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.9673e-05
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 3.2310e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.3824e-06
## Residuals 2.1955e-06
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 235
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 192
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 820
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.3021
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.3438
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.5707
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.9700e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.4840e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.8967e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.5140e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.4360e-07
## Residuals 2.7002e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.9700e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.4840e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.8967e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.5143e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.3480e-07
## Residuals 7.1240e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1271
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 812
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3902
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.07317
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.11084
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.11430
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs .
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.8500e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.9600e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 4.0000e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 9.0000e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 6.8000e-08
## Residuals 4.2692e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.8487e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.9650e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.7490e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 8.8090e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.7074e-09
## Residuals 1.1264e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 169
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 500
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.3728
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.7843
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.5180
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5.7400e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 8.0000e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.5200e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.0500e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.6900e-08
## Residuals 5.1867e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5.7434e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 7.9750e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.5231e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.0464e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 8.1260e-09
## Residuals 1.3685e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 166
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 104
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 78
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.7255
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.3795
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.4904
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.6410
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 9.3600e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.5900e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 7.6500e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.6720e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.4710e-08
## Residuals 1.1252e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 9.3625e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.5949e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 7.6455e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.6723e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.1008e-09
## Residuals 2.9689e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9670e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 7.2000e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 9.4420e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000e+00
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.1650e-07
## Residuals 2.7094e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9673e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 7.2000e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 9.4422e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 3.0000e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 4.5210e-08
## Residuals 7.1490e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 95
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1143
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.5158
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.6255
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.7100e-10
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.6800e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.0000e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.1000e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.4030e-09
## Residuals 2.7318e-07
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.7069e-10
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.6761e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.9820e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.0710e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.4326e-10
## Residuals 7.2078e-10
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.7470e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 4.1200e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.7000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 4.4000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 6.6800e-08
## Residuals 6.5968e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.7470e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 4.1175e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.6980e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 4.4430e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.5430e-09
## Residuals 1.7406e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 632
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2763
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.1377
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.9468
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00001137
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00001286
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00001126
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000433
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00003016
## Residuals 0.00134073
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.1367e-05
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.2857e-05
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.1261e-05
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 4.3339e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 4.3082e-06
## Residuals 3.5375e-06
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2866
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 437
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 126
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2819
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.03385
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.88235
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.18764
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.44444
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.36112
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.9700e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 3.3110e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.7660e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 8.8800e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.3340e-08
## Residuals 2.9108e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.9740e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 3.3106e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.7660e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 8.8780e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.9060e-09
## Residuals 7.6800e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2846
## permutational_ancova_volumetry_corrected_intracraneal$Gender 744
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.03408
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.11962
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.00000
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs *
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.00002311
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.00000000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00000181
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.00000212
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.00001201
## Residuals 0.00048554
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.3106e-05
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 3.4000e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.8080e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.1208e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.7155e-06
## Residuals 1.2811e-06
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 167
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 77
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3313
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.37725
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.57143
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.09297
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0000027
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0000000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0000760
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000010
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.0001595
## Residuals 0.0043375
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.6960e-06
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.6000e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 7.5973e-05
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0040e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.2784e-05
## Residuals 1.1445e-05
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 75
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 4048
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5000
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.57333
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.98039
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.02421
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.86275
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.05500
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 4.1960e-06
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 6.0000e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5.0980e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0600e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.4400e-07
## Residuals 8.0276e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 4.1963e-06
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.9700e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5.0985e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0560e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7.7700e-08
## Residuals 2.1180e-07
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 66
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 485
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.0058
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.6061
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.8433
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity **
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.5010e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0400e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.1999e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.9000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.5330e-07
## Residuals 3.1014e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 7.5008e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0380e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.1999e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.8700e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.0480e-08
## Residuals 8.1830e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 653
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.8627
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.6907
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5.7800e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.8200e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.2790e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.8000e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0370e-06
## Residuals 6.2777e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5.7797e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.8194e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.2792e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.7640e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.4817e-07
## Residuals 1.6564e-07
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2429
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 219
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 664
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.03993
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.31507
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.00760
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.59789
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender **
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.7660e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.7000e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.3550e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.9000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.6750e-07
## Residuals 5.2016e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.7660e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.6700e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.3548e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.8760e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.3935e-08
## Residuals 1.3725e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5000
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.000
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.054
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 3.5840e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.0330e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.9648e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.0000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.0750e-07
## Residuals 2.2967e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 3.5845e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.0329e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.9648e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 7.0100e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.9650e-08
## Residuals 6.0600e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2449
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 4925
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1141
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 0.03961
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.02010
## permutational_ancova_volumetry_corrected_intracraneal$Gender < 2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.74321
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity *
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs *
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9500e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.0000e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.2200e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.3000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.3200e-08
## Residuals 5.3252e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9455e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.4130e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.2180e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.2532e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.3314e-08
## Residuals 1.4051e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 653
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.7647
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.8346
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 6.870e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.140e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.185e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.900e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 8.060e-09
## Residuals 1.190e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 6.8667e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5.1383e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.1850e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.8890e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.1518e-09
## Residuals 3.1399e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 242
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.2934
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0000
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 6.6870e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 4.6400e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.1026e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 0.0000e+00
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2.1490e-07
## Residuals 2.5178e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 6.6875e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 4.6420e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.1026e-06
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.0000e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.0700e-08
## Residuals 6.6430e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 177
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.300e-11
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.130e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.510e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.595e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.322e-09
## Residuals 2.359e-07
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.3300e-11
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.1347e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 2.5105e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.5951e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 4.7461e-10
## Residuals 6.2244e-10
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 4.1920e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.3110e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 6.3000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.1000e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 6.3800e-08
## Residuals 1.0778e-05
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 4.1918e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.3112e-07
## permutational_ancova_volumetry_corrected_intracraneal$Gender 6.2900e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.0800e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.1200e-09
## Residuals 2.8440e-08
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.0186
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0000
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs *
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.8380e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.4000e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 6.2900e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000e-11
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 6.3400e-09
## Residuals 3.3008e-07
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.8379e-08
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.3710e-10
## permutational_ancova_volumetry_corrected_intracraneal$Gender 6.2900e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.5000e-12
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 9.0530e-10
## Residuals 8.7090e-10
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 51
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.4486e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.1010e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.1153e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.6900e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7.6680e-08
## Residuals 2.8391e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.4486e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.1011e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.1153e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.6890e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.0954e-08
## Residuals 7.4910e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5000
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.1562
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs ***
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 3.4000e-10
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.7930e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 4.2940e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.6400e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.2910e-08
## Residuals 1.5907e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 3.3800e-10
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 2.7928e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 4.2942e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.6370e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7.5580e-09
## Residuals 4.1970e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 4755
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 2578
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.02061
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.01180
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.00000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.15477
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs *
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9400e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 7.9300e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5.2300e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.1000e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.1060e-08
## Residuals 1.8238e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 2.9390e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 7.9350e-09
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5.2296e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 6.0700e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7.2940e-09
## Residuals 4.8120e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5000
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.3086
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 8.1300e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.3000e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.3780e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 4.4400e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 3.7730e-08
## Residuals 1.6993e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 8.1310e-09
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1.3001e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 3.3775e-08
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 4.4370e-09
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 5.3910e-09
## Residuals 4.4840e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 51
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 51
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1131
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 0.8431
## permutational_ancova_volumetry_corrected_intracraneal$Gender 0.0164
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.6136
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs
## permutational_ancova_volumetry_corrected_intracraneal$Gender *
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 1
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 7
## Residuals 379
## R Sum Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.7538e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.9440e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.3134e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.7000e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 8.6410e-08
## Residuals 2.5336e-06
## R Mean Sq
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 1.7538e-07
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 9.9440e-08
## permutational_ancova_volumetry_corrected_intracraneal$Gender 1.3134e-07
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 2.6800e-10
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1.2345e-08
## Residuals 6.6850e-09
## Iter
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity 5000
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs 5000
## permutational_ancova_volumetry_corrected_intracraneal$Gender 5000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 51
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 1028
## Residuals
## Pr(Prob)
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$Gender <2e-16
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ 1.0000
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income 0.1955
## Residuals
##
## permutational_ancova_volumetry_corrected_intracraneal$Racial_identity ***
## permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs ***
## permutational_ancova_volumetry_corrected_intracraneal$Gender ***
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ
## permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Extraction of p-values of the permutational analysis permutational_ancova_volumetry_corrected_intracraneal[,c("columns with volumetric data")]
set.seed(1234)
pvalues_modpermut_volumetry_corrected_intracraneal_adjage_gender_educ_income <- sapply(permutational_ancova_volumetry_corrected_intracraneal[,c(6:17,24:62)], function(x) aovp(x ~ permutational_ancova_volumetry_corrected_intracraneal$Racial_identity+ permutational_ancova_volumetry_corrected_intracraneal$Age_in_Yrs + permutational_ancova_volumetry_corrected_intracraneal$Gender + permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Educ+ permutational_ancova_volumetry_corrected_intracraneal$SSAGA_Income)$perm$P)## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## Conversion of p-values in a data frame format
pvalues_permutation_multiple_comparisons_volumetry <- as.data.frame(pvalues_modpermut_volumetry_corrected_intracraneal_adjage_gender_educ_income) %>% slice(2)
pvalues_permutation_multiple_comparisons_volumetry <-pvalues_permutation_multiple_comparisons_volumetry %>% gather(key = "volumetry_corrected_ICV", value = "permutation_pvalue")
## Execution of Holm-Bonferroni multiple comparison analysis
pvalues_permutation_multiple_comparisons_volumetry$Holm =p.adjust(pvalues_permutation_multiple_comparisons_volumetry$permutation_pvalue,method ="holm")| Brain regions | permutation p-values | Holm |
|---|---|---|
| BrainSeg_Vol | 0.0639456 | 1.0000 |
| BrainSeg_Vol_No_Vent | 0.0732861 | 1.0000 |
| BrainSeg_Vol_No_Vent_Surf | 0.0146000 | 0.4964 |
| LCort_GM_Vol | 1.0000000 | 1.0000 |
| RCort_GM_Vol | 0.5411765 | 1.0000 |
| TotCort_GM_Vol | 0.9803922 | 1.0000 |
| SubCort_GM_Vol | 0.0000000 | 0.0000 |
| Total_GM_Vol | 0.3043478 | 1.0000 |
| SupraTentorial_Vol | 0.0371079 | 1.0000 |
| L_WM_Vol | 0.0004000 | 0.0148 |
| R_WM_Vol | 0.0000000 | 0.0000 |
| Tot_WM_Vol | 0.0000000 | 0.0000 |
| LatVent_Vol | 0.0321086 | 1.0000 |
| L_InfLatVent_Vol | 1.0000000 | 1.0000 |
| L_Cerebellum_WM_Vol | 0.0104000 | 0.3640 |
| L_Cerebellum_Cort_Vol | 0.0801724 | 1.0000 |
| L_ThalamusProper_Vol | 0.0000000 | 0.0000 |
| L_Caudate_Vol | 0.0000000 | 0.0000 |
| L_Putamen_Vol | 0.0432238 | 1.0000 |
| L_Pallidum_Vol | 0.1447811 | 1.0000 |
| 3rdVent_Vol | 0.6666667 | 1.0000 |
| 4thVent_Vol | 0.2823529 | 1.0000 |
| BrainStem_Vol | 0.3021277 | 1.0000 |
| L_Hippo_Vol | 1.0000000 | 1.0000 |
| L_Amygdala_Vol | 0.3727811 | 1.0000 |
| CSF_Vol | 0.7254902 | 1.0000 |
| L_AccumbensArea_Vol | 1.0000000 | 1.0000 |
| L_VentDC_Vol | 0.5157895 | 1.0000 |
| L_Vessel_Vol | 1.0000000 | 1.0000 |
| L_ChoroidPlexus_Vol | 0.0000000 | 0.0000 |
| R_LatVent_Vol | 0.0338451 | 1.0000 |
| R_InfLatVent_Vol | 1.0000000 | 1.0000 |
| R_Cerebellum_WM_Vol | 0.0000000 | 0.0000 |
| R_Cerebellum_Cort_Vol | 0.5733333 | 1.0000 |
| R_ThalamusProper_Vol | 0.0058000 | 0.2088 |
| R_Caudate_Vol | 0.0000000 | 0.0000 |
| R_Putamen_Vol | 0.0399341 | 1.0000 |
| R_Pallidum_Vol | 0.0000000 | 0.0000 |
| R_Hippo_Vol | 0.0396080 | 1.0000 |
| R_Amygdala_Vol | 1.0000000 | 1.0000 |
| R_AccumbensArea_Vol | 1.0000000 | 1.0000 |
| R_VentDC_Vol | 0.0000000 | 0.0000 |
| R_Vessel_Vol | 1.0000000 | 1.0000 |
| R_ChoroidPlexus_Vol | 0.0000000 | 0.0000 |
| 5thVent_Vol | 1.0000000 | 1.0000 |
| OpticChiasm_Vol | 0.0000000 | 0.0000 |
| CC_Posterior_Vol | 0.0000000 | 0.0000 |
| CC_MidPosterior_Vol | 1.0000000 | 1.0000 |
| CC_Central_Vol | 1.0000000 | 1.0000 |
| CC_MidAnterior_Vol | 1.0000000 | 1.0000 |
| CC_Anterior_Vol | 0.0000000 | 0.0000 |
## volumetry_corrected_ICV permutation_pvalue Holm
## 1 SubCort_GM_Vol 0e+00 0.0000
## 2 L_WM_Vol 4e-04 0.0148
## 3 R_WM_Vol 0e+00 0.0000
## 4 Tot_WM_Vol 0e+00 0.0000
## 5 L_ThalamusProper_Vol 0e+00 0.0000
## 6 L_Caudate_Vol 0e+00 0.0000
## 7 L_ChoroidPlexus_Vol 0e+00 0.0000
## 8 R_Cerebellum_WM_Vol 0e+00 0.0000
## 9 R_Caudate_Vol 0e+00 0.0000
## 10 R_Pallidum_Vol 0e+00 0.0000
## 11 R_VentDC_Vol 0e+00 0.0000
## 12 R_ChoroidPlexus_Vol 0e+00 0.0000
## 13 OpticChiasm_Vol 0e+00 0.0000
## 14 CC_Posterior_Vol 0e+00 0.0000
## 15 CC_Anterior_Vol 0e+00 0.0000
## Warning: `fun.y` is deprecated. Use `fun` instead.
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
permutational_ancova_cortical_thickness %>% na.omit() %>% select(c(2,6:73)) %>%
dplyr::rename(
"Left Banks STS" = L_Bankssts_Thck,
"Left Caudal Anterior Cingulate" = L_Caudalanteriorcingulate_Thck,
"Left Caudal Middle Frontal" = L_Caudalmiddlefrontal_Thck,
"Left Cuneus" = L_Cuneus_Thck,
"Left Entorhinal" = L_Entorhinal_Thck,
"Left Fusiform" = L_Fusiform_Thck,
"Left Inferior Parietal" = L_Inferiorparietal_Thck,
"Left Inferior Temporal" = L_Inferiortemporal_Thck,
"Left Isthmuscingulate" = L_Isthmuscingulate_Thck,
"Left Lateral Occipital" = L_Lateraloccipital_Thck,
"Left Lateral Orbitofrontal" = L_Lateralorbitofrontal_Thck,
"Left Lingual" = L_Lingual_Thck,
"Left Medialorbitofrontal" = L_Medialorbitofrontal_Thck,
"Left Middletemporal" = L_Middletemporal_Thck,
"Left Parahippocampal" = L_Parahippocampal_Thck,
"Left Paracentral" = L_Paracentral_Thck,
"Left Parsopercularis" = L_Parsopercularis_Thck,
"Left Parsorbitalis" = L_Parsorbitalis_Thck,
"Left Parstriangularis" = L_Parstriangularis_Thck,
"Left Pericalcarine" = L_Pericalcarine_Thck,
"Left Postcentral" = L_Postcentral_Thck,
"Left Posterior Cingulate" = L_Posteriorcingulate_Thck,
"Left Precentral" = L_Precentral_Thck,
"Left Precuneus" = L_Precuneus_Thck,
"Left Rostral anterior cingulate" = L_Rostralanteriorcingulate_Thck,
"Left Rostral middle frontal" = L_Rostralmiddlefrontal_Thck,
"Left Superior Frontal" = L_Superiorfrontal_Thck,
"Left Superior Parietal" = L_Superiorparietal_Thck,
"Left Superior Temporal" = L_Superiortemporal_Thck,
"Left Supramarginal" = L_Supramarginal_Thck,
"Left Frontal Pole" = L_Frontalpole_Thck,
"Left Temporal Pole" = L_Temporalpole_Thck,
"Left Transverse Temporal" = L_Transversetemporal_Thck,
"Left Insula" = L_Insula_Thck,
"Right Banks STS" = R_Bankssts_Thck,
"Right Caudal Anterior Cingulate"= R_Caudalanteriorcingulate_Thck,
"Right Caudal Middle Frontal" = R_Caudalmiddlefrontal_Thck,
"Right Cuneus" = R_Cuneus_Thck,
"Right Entorhinal" = R_Entorhinal_Thck,
"Right Fusiform" = R_Fusiform_Thck,
"Right Inferior Parietal" =R_Inferiorparietal_Thck,
"Right Inferior Temporal" = R_Inferiortemporal_Thck,
"Right Isthmuscingulate" = R_Isthmuscingulate_Thck,
"Right Lateral Occipital" = R_Lateraloccipital_Thck,
"Right Lateral Orbitofrontal" = R_Lateralorbitofrontal_Thck,
"Right Lingual" = R_Lingual_Thck,
"Right Medial Orbitofrontal" = R_Medialorbitofrontal_Thck,
"Right Middle Temporal"= R_Middletemporal_Thck,
"Right _Parahippocampal" = R_Parahippocampal_Thck,
"Right Paracentral" = R_Paracentral_Thck,
"Right Parsopercularis"= R_Parsopercularis_Thck,
"Right Parsorbitalis" = R_Parsorbitalis_Thck,
"Right Parstriangularis" = R_Parstriangularis_Thck,
"Right Pericalcarine" = R_Pericalcarine_Thck,
"Right Postcentral" = R_Postcentral_Thck,
"Right Posterior Cingulate" = R_Posteriorcingulate_Thck,
"Right Precentral" = R_Precentral_Thck,
"Right Precuneus" = R_Precuneus_Thck,
"Right Rostral Anterior Cingulate" = R_Rostralanteriorcingulate_Thck,
"Right Rostral Middle Frontal" = R_Rostralmiddlefrontal_Thck,
"Right Superior Frontal" = R_Superiorfrontal_Thck,
"Right Superior Parietal" = R_Superiorparietal_Thck,
"Right Superior Temporal" = R_Superiortemporal_Thck,
"Right Supramarginal" = R_Supramarginal_Thck,
"Right Frontal Pole" = R_Frontalpole_Thck,
"Right Temporal Pole" = R_Temporalpole_Thck,
"Right Transverse Temporal" = R_Transversetemporal_Thck,
"Right Insula" = R_Insula_Thck ) %>% tbl_summary(by = Racial_identity, statistic = list(all_continuous() ~ "{mean} ({sd})"), digits = all_continuous() ~ function(x) format(x, format = "e", digits = 4)) %>%
modify_header(label ~ "**Brain Regions**") %>% as_gt()| Brain Regions | White, N = 3351 | Black or African Am., N = 561 |
|---|---|---|
| Left Banks STS | 2.693 (0.1414) | 2.652 (0.1345) |
| Left Caudal Anterior Cingulate | 2.687 (0.1650) | 2.742 (0.1818) |
| Left Caudal Middle Frontal | 2.728 (0.126) | 2.762 (0.126) |
| Left Cuneus | 2.099 (0.1214) | 2.040 (0.1011) |
| Left Entorhinal | 3.318 (0.2490) | 3.271 (0.2034) |
| Left Fusiform | 2.889 (0.12094) | 2.850 (0.09736) |
| Left Inferior Parietal | 2.585 (0.1118) | 2.552 (0.1017) |
| Left Inferior Temporal | 2.954 (0.1289) | 2.930 (0.1036) |
| Left Isthmuscingulate | 2.290 (0.2969) | 2.273 (0.2116) |
| Left Lateral Occipital | 2.312 (0.1099) | 2.234 (0.1040) |
| Left Lateral Orbitofrontal | 2.817 (0.1265) | 2.789 (0.1476) |
| Left Lingual | 2.189 (0.11238) | 2.125 (0.09406) |
| Left Medialorbitofrontal | 2.555 (0.1610) | 2.619 (0.1388) |
| Left Middletemporal | 2.991 (0.1347) | 2.950 (0.1184) |
| Left Parahippocampal | 2.730 (0.2678) | 2.707 (0.2213) |
| Left Paracentral | 2.569 (0.1365) | 2.542 (0.1193) |
| Left Parsopercularis | 2.778 (0.1306) | 2.796 (0.1117) |
| Left Parsorbitalis | 2.777 (0.1536) | 2.790 (0.1663) |
| Left Parstriangularis | 2.629 (0.1285) | 2.634 (0.1437) |
| Left Pericalcarine | 2.020 (0.1170) | 1.978 (0.1141) |
| Left Postcentral | 2.230 (0.10179) | 2.176 (0.09014) |
| Left Posterior Cingulate | 2.564 (0.1298) | 2.582 (0.1247) |
| Left Precentral | 2.738 (0.12175) | 2.740 (0.09945) |
| Left Precuneus | 2.533 (0.1143) | 2.514 (0.1153) |
| Left Rostral anterior cingulate | 3.020 (0.1954) | 3.081 (0.1964) |
| Left Rostral middle frontal | 2.567 (0.1193) | 2.584 (0.1360) |
| Left Superior Frontal | 2.832 (0.1364) | 2.869 (0.1321) |
| Left Superior Parietal | 2.294 (0.1055) | 2.281 (0.1039) |
| Left Superior Temporal | 2.902 (0.1368) | 2.888 (0.1137) |
| Left Supramarginal | 2.665 (0.1162) | 2.633 (0.1116) |
| Left Frontal Pole | 2.825 (0.2009) | 2.870 (0.2009) |
| Left Temporal Pole | 3.420 (0.2569) | 3.411 (0.2510) |
| Left Transverse Temporal | 2.667 (0.1741) | 2.598 (0.1683) |
| Left Insula | 3.067 (0.1443) | 3.020 (0.1444) |
| Right Banks STS | 2.810 (0.1342) | 2.744 (0.1603) |
| Right Caudal Anterior Cingulate | 2.504 (0.2369) | 2.536 (0.2326) |
| Right Caudal Middle Frontal | 2.742 (0.1170) | 2.777 (0.1229) |
| Right Cuneus | 2.099 (0.1105) | 2.042 (0.1147) |
| Right Entorhinal | 3.445 (0.2412) | 3.313 (0.2290) |
| Right Fusiform | 2.906 (0.1104) | 2.860 (0.1161) |
| Right Inferior Parietal | 2.657 (0.10264) | 2.618 (0.09668) |
| Right Inferior Temporal | 2.991 (0.1221) | 2.954 (0.1147) |
| Right Isthmuscingulate | 2.336 (0.1715) | 2.304 (0.1802) |
| Right Lateral Occipital | 2.366 (0.1036) | 2.273 (0.1102) |
| Right Lateral Orbitofrontal | 2.844 (0.1278) | 2.808 (0.1417) |
| Right Lingual | 2.208 (0.1101) | 2.132 (0.1075) |
| Right Medial Orbitofrontal | 2.737 (0.1398) | 2.774 (0.1516) |
| Right Middle Temporal | 3.074 (0.1211) | 3.013 (0.1111) |
| Right _Parahippocampal | 2.712 (0.2310) | 2.656 (0.1573) |
| Right Paracentral | 2.595 (0.1307) | 2.588 (0.1187) |
| Right Parsopercularis | 2.827 (0.1131) | 2.854 (0.1314) |
| Right Parsorbitalis | 2.843 (0.1509) | 2.843 (0.1390) |
| Right Parstriangularis | 2.697 (0.1223) | 2.703 (0.1381) |
| Right Pericalcarine | 2.020 (0.1122) | 1.982 (0.1258) |
| Right Postcentral | 2.248 (0.09787) | 2.204 (0.10093) |
| Right Posterior Cingulate | 2.532 (0.1564) | 2.511 (0.1506) |
| Right Precentral | 2.739 (0.1122) | 2.739 (0.1121) |
| Right Precuneus | 2.566 (0.1096) | 2.543 (0.1150) |
| Right Rostral Anterior Cingulate | 2.996 (0.1853) | 3.056 (0.1737) |
| Right Rostral Middle Frontal | 2.588 (0.1126) | 2.600 (0.1323) |
| Right Superior Frontal | 2.869 (0.1276) | 2.897 (0.1461) |
| Right Superior Parietal | 2.333 (0.1023) | 2.316 (0.1015) |
| Right Superior Temporal | 2.958 (0.1265) | 2.942 (0.1237) |
| Right Supramarginal | 2.715 (0.1152) | 2.668 (0.1017) |
| Right Frontal Pole | 2.854 (0.2021) | 2.901 (0.2236) |
| Right Temporal Pole | 3.671 (0.2895) | 3.588 (0.2633) |
| Right Transverse Temporal | 2.765 (0.1709) | 2.653 (0.1645) |
| Right Insula | 3.025 (0.1455) | 2.969 (0.1447) |
|
1
Mean (SD)
|
||
set.seed(1234)
permutational_ancova_cortical_thickness_adjage_educ_income <- lapply(permutational_ancova_cortical_thickness[,6:73], function(x) aovp(x ~ permutational_ancova_cortical_thickness$Racial_identity+ permutational_ancova_cortical_thickness$Age_in_Yrs+ permutational_ancova_cortical_thickness$Gender+ permutational_ancova_cortical_thickness$SSAGA_Educ+ permutational_ancova_cortical_thickness$SSAGA_Income))## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0771 0.077134
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0585 0.058521
## permutational_ancova_cortical_thickness$Gender 1 0.0324 0.032364
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0001 0.000136
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1674 0.023912
## Residuals 379 7.3470 0.019385
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.01260 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 2999 0.03234 *
## permutational_ancova_cortical_thickness$Gender 1001 0.09091 .
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.92157
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.25700
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0919 0.091880
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1286 0.128632
## permutational_ancova_cortical_thickness$Gender 1 0.0267 0.026744
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0000 0.000009
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1206 0.017222
## Residuals 379 10.5912 0.027945
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 0.96078
## permutational_ancova_cortical_thickness$Age_in_Yrs 2472 0.03924 *
## permutational_ancova_cortical_thickness$Gender 495 0.16970
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 1803 0.73267
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0532 0.05319
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3411 0.34106
## permutational_ancova_cortical_thickness$Gender 1 0.0010 0.00096
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0077 0.00768
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0273 0.00390
## Residuals 379 5.7049 0.01505
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 776 0.1147
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Educ 254 0.2835
## permutational_ancova_cortical_thickness$SSAGA_Income 315 0.9524
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.2048 0.204775
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0145 0.014472
## permutational_ancova_cortical_thickness$Gender 1 0.0022 0.002223
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0000 0.000006
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0831 0.011872
## Residuals 379 5.3650 0.014156
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 244 0.2910
## permutational_ancova_cortical_thickness$Gender 99 0.5051
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 4615 0.6115
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0750 0.075032
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0388 0.038814
## permutational_ancova_cortical_thickness$Gender 1 0.0019 0.001871
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.1304 0.130446
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.6586 0.094091
## Residuals 379 22.1424 0.058423
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 925 0.09838 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 522 0.16092
## permutational_ancova_cortical_thickness$Gender 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.76471
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.09220 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0675 0.067480
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0492 0.049226
## permutational_ancova_cortical_thickness$Gender 1 0.0058 0.005846
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0169 0.016886
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0364 0.005196
## Residuals 379 5.2996 0.013983
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 212 0.3208
## permutational_ancova_cortical_thickness$Gender 415 0.1952
## permutational_ancova_cortical_thickness$SSAGA_Educ 338 0.2308
## permutational_ancova_cortical_thickness$SSAGA_Income 332 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0639 0.063948
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1516 0.151601
## permutational_ancova_cortical_thickness$Gender 1 0.0079 0.007855
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0057 0.005688
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0405 0.005789
## Residuals 379 4.5021 0.011879
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.0072 **
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 450 0.1822
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.8235
## permutational_ancova_cortical_thickness$SSAGA_Income 2417 0.9082
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0243 0.024319
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0382 0.038163
## permutational_ancova_cortical_thickness$Gender 1 0.0202 0.020213
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0069 0.006904
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0749 0.010694
## Residuals 379 5.9605 0.015727
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 81 0.55556
## permutational_ancova_cortical_thickness$Age_in_Yrs 3854 0.02543 *
## permutational_ancova_cortical_thickness$Gender 163 0.38037
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.72549
## permutational_ancova_cortical_thickness$SSAGA_Income 1007 0.76564
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0654 0.065405
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0095 0.009517
## permutational_ancova_cortical_thickness$Gender 1 0.0498 0.049764
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0191 0.019055
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.4289 0.061273
## Residuals 379 31.3911 0.082826
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 231 0.3030
## permutational_ancova_cortical_thickness$Age_in_Yrs 51 1.0000
## permutational_ancova_cortical_thickness$Gender 80 0.5625
## permutational_ancova_cortical_thickness$SSAGA_Educ 148 0.4054
## permutational_ancova_cortical_thickness$SSAGA_Income 919 0.6692
## Residuals
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.2734 0.273422
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0918 0.091756
## permutational_ancova_cortical_thickness$Gender 1 0.0039 0.003920
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0000 0.000019
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0535 0.007645
## Residuals 379 4.4757 0.011809
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 0.8824
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.8627
## permutational_ancova_cortical_thickness$SSAGA_Income 2014 0.7602
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0205 0.02047
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3394 0.33942
## permutational_ancova_cortical_thickness$Gender 1 0.0071 0.00714
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0259 0.02592
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0310 0.00443
## Residuals 379 6.0349 0.01592
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 468 0.17735
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 233 0.30043
## permutational_ancova_cortical_thickness$SSAGA_Educ 1102 0.08348 .
## permutational_ancova_cortical_thickness$SSAGA_Income 1102 0.94283
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1452 0.145231
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0158 0.015815
## permutational_ancova_cortical_thickness$Gender 1 0.0011 0.001142
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0052 0.005228
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0871 0.012450
## Residuals 379 4.5952 0.012124
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 116 0.4655
## permutational_ancova_cortical_thickness$Gender 53 0.6604
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 3070 0.2502
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1671 0.167112
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0608 0.060818
## permutational_ancova_cortical_thickness$Gender 1 0.0560 0.056017
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0024 0.002368
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1634 0.023341
## Residuals 379 9.3393 0.024642
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 2994 0.0324 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 3798 0.0258 *
## permutational_ancova_cortical_thickness$Gender 51 0.8039
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.9608
## permutational_ancova_cortical_thickness$SSAGA_Income 2522 0.4481
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0688 0.068803
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1050 0.105002
## permutational_ancova_cortical_thickness$Gender 1 0.0052 0.005246
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0265 0.026500
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0587 0.008383
## Residuals 379 6.5807 0.017363
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 1248 0.07452 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.01760 *
## permutational_ancova_cortical_thickness$Gender 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.98039
## permutational_ancova_cortical_thickness$SSAGA_Income 147 0.87755
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0821 0.082096
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0686 0.068621
## permutational_ancova_cortical_thickness$Gender 1 0.1446 0.144586
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0058 0.005810
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.4964 0.070907
## Residuals 379 25.9608 0.068498
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 53 0.6604
## permutational_ancova_cortical_thickness$Age_in_Yrs 746 0.1193
## permutational_ancova_cortical_thickness$Gender 508 0.1654
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 876 0.5765
## Residuals
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0278 0.027754
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1685 0.168511
## permutational_ancova_cortical_thickness$Gender 1 0.0471 0.047065
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0025 0.002543
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0617 0.008810
## Residuals 379 6.7820 0.017894
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.0000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0028 **
## permutational_ancova_cortical_thickness$Gender 391 0.2046
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.9020
## permutational_ancova_cortical_thickness$SSAGA_Income 1065 0.8028
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0188 0.018776
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3051 0.305078
## permutational_ancova_cortical_thickness$Gender 1 0.0348 0.034780
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0035 0.003534
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1215 0.017354
## Residuals 379 5.7739 0.015234
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 319 0.2414
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 270 0.2704
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 2040 0.1279
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0026 0.00261
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.4854 0.48537
## permutational_ancova_cortical_thickness$Gender 1 0.1426 0.14264
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0119 0.01195
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1323 0.01890
## Residuals 379 8.6360 0.02279
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.00000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 2491 0.03894 *
## permutational_ancova_cortical_thickness$SSAGA_Educ 365 0.21644
## permutational_ancova_cortical_thickness$SSAGA_Income 1877 0.33245
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0015 0.00155
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3366 0.33664
## permutational_ancova_cortical_thickness$Gender 1 0.0046 0.00455
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0192 0.01920
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0540 0.00772
## Residuals 379 6.1745 0.01629
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.0000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 268 0.2724
## permutational_ancova_cortical_thickness$SSAGA_Educ 651 0.1336
## permutational_ancova_cortical_thickness$SSAGA_Income 309 0.9741
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1147 0.114718
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0590 0.059024
## permutational_ancova_cortical_thickness$Gender 1 0.0364 0.036377
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0016 0.001615
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0842 0.012035
## Residuals 379 5.0842 0.013415
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.01800 *
## permutational_ancova_cortical_thickness$Gender 4372 0.02242 *
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.96078
## permutational_ancova_cortical_thickness$SSAGA_Income 2326 0.51032
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1285 0.128484
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0739 0.073852
## permutational_ancova_cortical_thickness$Gender 1 0.0015 0.001502
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0018 0.001786
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0599 0.008555
## Residuals 379 3.7673 0.009940
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 2033 0.7024
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0065 0.006454
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2896 0.289580
## permutational_ancova_cortical_thickness$Gender 1 0.0185 0.018531
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0475 0.047510
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0366 0.005228
## Residuals 379 6.0540 0.015974
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 309 0.2460
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 471 0.1762
## permutational_ancova_cortical_thickness$SSAGA_Educ 53 0.6604
## permutational_ancova_cortical_thickness$SSAGA_Income 400 0.8800
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0001 0.000097
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0977 0.097736
## permutational_ancova_cortical_thickness$Gender 1 0.0020 0.001953
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0086 0.008611
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0451 0.006447
## Residuals 379 5.3037 0.013994
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.0000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0184 *
## permutational_ancova_cortical_thickness$Gender 51 0.7843
## permutational_ancova_cortical_thickness$SSAGA_Educ 56 0.6429
## permutational_ancova_cortical_thickness$SSAGA_Income 1753 0.9395
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0161 0.016111
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1352 0.135160
## permutational_ancova_cortical_thickness$Gender 1 0.0055 0.005451
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0011 0.001080
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0761 0.010870
## Residuals 379 4.8669 0.012841
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 1159 0.08024 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.68627
## permutational_ancova_cortical_thickness$SSAGA_Income 3242 0.55028
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1927 0.192697
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1825 0.182523
## permutational_ancova_cortical_thickness$Gender 1 0.0366 0.036562
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0125 0.012463
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0722 0.010314
## Residuals 379 14.4641 0.038164
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.0138 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0130 *
## permutational_ancova_cortical_thickness$Gender 51 0.7647
## permutational_ancova_cortical_thickness$SSAGA_Educ 103 0.4951
## permutational_ancova_cortical_thickness$SSAGA_Income 92 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0210 0.020977
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3138 0.313825
## permutational_ancova_cortical_thickness$Gender 1 0.0030 0.003024
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0011 0.001148
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0506 0.007232
## Residuals 379 5.3190 0.014034
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 83 0.5542
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 3467 0.7791
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0620 0.06199
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.4235 0.42355
## permutational_ancova_cortical_thickness$Gender 1 0.0513 0.05128
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0012 0.00124
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0162 0.00232
## Residuals 379 6.7212 0.01773
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 603 0.1426
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 0.6667
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.9804
## permutational_ancova_cortical_thickness$SSAGA_Income 197 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0125 0.012546
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0540 0.054034
## permutational_ancova_cortical_thickness$Gender 1 0.0052 0.005246
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0054 0.005430
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0272 0.003887
## Residuals 379 4.2101 0.011108
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 430 0.1907
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0176 *
## permutational_ancova_cortical_thickness$Gender 155 0.3935
## permutational_ancova_cortical_thickness$SSAGA_Educ 535 0.1589
## permutational_ancova_cortical_thickness$SSAGA_Income 930 0.8699
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0019 0.001925
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2855 0.285488
## permutational_ancova_cortical_thickness$Gender 1 0.0182 0.018187
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0044 0.004400
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0274 0.003913
## Residuals 379 6.5411 0.017259
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 154 0.3961
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 472 0.1758
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.8824
## permutational_ancova_cortical_thickness$SSAGA_Income 267 0.9663
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0652 0.065182
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2055 0.205488
## permutational_ancova_cortical_thickness$Gender 1 0.0153 0.015265
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0185 0.018451
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0656 0.009367
## Residuals 379 4.8774 0.012869
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 3703 0.02647 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 338 0.23077
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 292 0.64726
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0865 0.08645
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.8604 0.86043
## permutational_ancova_cortical_thickness$Gender 1 0.0899 0.08991
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0069 0.00689
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1966 0.02809
## Residuals 379 14.4880 0.03823
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 454 0.1806
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 592 0.1453
## permutational_ancova_cortical_thickness$SSAGA_Educ 91 0.5275
## permutational_ancova_cortical_thickness$SSAGA_Income 537 0.8547
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0047 0.00467
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1042 0.10420
## permutational_ancova_cortical_thickness$Gender 1 0.9804 0.98037
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.1793 0.17934
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.7049 0.10071
## Residuals 379 23.7736 0.06273
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.00000
## permutational_ancova_cortical_thickness$Age_in_Yrs 347 0.22478
## permutational_ancova_cortical_thickness$Gender 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$SSAGA_Educ 1316 0.07067 .
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.11860
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.2204 0.220386
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0970 0.097008
## permutational_ancova_cortical_thickness$Gender 1 0.0964 0.096409
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0175 0.017505
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0621 0.008872
## Residuals 379 11.4592 0.030235
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.01780 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 4727 0.02073 *
## permutational_ancova_cortical_thickness$Gender 1504 0.06250 .
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 94 0.98936
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0390 0.03898
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2640 0.26401
## permutational_ancova_cortical_thickness$Gender 1 0.3861 0.38606
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0069 0.00692
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1088 0.01554
## Residuals 379 7.0734 0.01866
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 997 0.09127 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$SSAGA_Educ 121 0.45455
## permutational_ancova_cortical_thickness$SSAGA_Income 678 0.58850
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.2187 0.218687
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0780 0.077981
## permutational_ancova_cortical_thickness$Gender 1 0.0393 0.039297
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0028 0.002777
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0473 0.006763
## Residuals 379 7.1336 0.018822
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 2195 0.04374 *
## permutational_ancova_cortical_thickness$Gender 940 0.09681 .
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 613 0.89886
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0114 0.011430
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0275 0.027451
## permutational_ancova_cortical_thickness$Gender 1 0.0229 0.022893
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.2009 0.200861
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1385 0.019779
## Residuals 379 21.2059 0.055952
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 0.94118
## permutational_ancova_cortical_thickness$Age_in_Yrs 51 0.86275
## permutational_ancova_cortical_thickness$Gender 102 0.50000
## permutational_ancova_cortical_thickness$SSAGA_Educ 2244 0.04278 *
## permutational_ancova_cortical_thickness$SSAGA_Income 446 1.00000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0666 0.066567
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2280 0.227953
## permutational_ancova_cortical_thickness$Gender 1 0.0037 0.003675
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0146 0.014619
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0296 0.004233
## Residuals 379 5.0404 0.013299
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.0084 **
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 0.9020
## permutational_ancova_cortical_thickness$SSAGA_Educ 508 0.1654
## permutational_ancova_cortical_thickness$SSAGA_Income 214 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1722 0.172204
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0076 0.007604
## permutational_ancova_cortical_thickness$Gender 1 0.0040 0.004020
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0441 0.044145
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1448 0.020689
## Residuals 379 4.5700 0.012058
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 110 0.4818
## permutational_ancova_cortical_thickness$Gender 51 0.7647
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.8431
## permutational_ancova_cortical_thickness$SSAGA_Income 2763 0.0532 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.6441 0.64413
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0610 0.06097
## permutational_ancova_cortical_thickness$Gender 1 0.0003 0.00030
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0200 0.02000
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.4819 0.06885
## Residuals 379 21.7935 0.05750
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 387 0.2067
## permutational_ancova_cortical_thickness$Gender 51 0.9804
## permutational_ancova_cortical_thickness$SSAGA_Educ 182 0.3571
## permutational_ancova_cortical_thickness$SSAGA_Income 907 0.1742
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0966 0.096587
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0542 0.054173
## permutational_ancova_cortical_thickness$Gender 1 0.0060 0.006024
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0092 0.009154
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1335 0.019071
## Residuals 379 4.5718 0.012063
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 1997 0.04807 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 4519 0.02169 *
## permutational_ancova_cortical_thickness$Gender 241 0.29461
## permutational_ancova_cortical_thickness$SSAGA_Educ 563 0.15098
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.12880
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0969 0.096927
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0495 0.049494
## permutational_ancova_cortical_thickness$Gender 1 0.0109 0.010905
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0042 0.004244
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0931 0.013298
## Residuals 379 3.7954 0.010014
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0154 *
## permutational_ancova_cortical_thickness$Gender 340 0.2294
## permutational_ancova_cortical_thickness$SSAGA_Educ 268 0.2724
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.1950
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0550 0.055004
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0374 0.037446
## permutational_ancova_cortical_thickness$Gender 1 0.0431 0.043097
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0107 0.010743
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0944 0.013482
## Residuals 379 5.4482 0.014375
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 1719 0.05526 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 1372 0.06851 .
## permutational_ancova_cortical_thickness$Gender 730 0.12055
## permutational_ancova_cortical_thickness$SSAGA_Educ 189 0.34921
## permutational_ancova_cortical_thickness$SSAGA_Income 1066 0.55816
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0307 0.030671
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0001 0.000059
## permutational_ancova_cortical_thickness$Gender 1 0.0576 0.057580
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0064 0.006360
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1971 0.028159
## Residuals 379 11.3353 0.029908
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 1054 0.08729 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 51 0.98039
## permutational_ancova_cortical_thickness$Gender 1424 0.06601 .
## permutational_ancova_cortical_thickness$SSAGA_Educ 170 0.37059
## permutational_ancova_cortical_thickness$SSAGA_Income 799 0.46934
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.3527 0.35269
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0436 0.04358
## permutational_ancova_cortical_thickness$Gender 1 0.0186 0.01857
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0003 0.00025
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0377 0.00539
## Residuals 379 4.1235 0.01088
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 4008 0.02445 *
## permutational_ancova_cortical_thickness$Gender 465 0.17849
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.90196
## permutational_ancova_cortical_thickness$SSAGA_Income 1216 0.83717
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0353 0.035265
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2653 0.265280
## permutational_ancova_cortical_thickness$Gender 1 0.0264 0.026428
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0101 0.010059
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0558 0.007977
## Residuals 379 6.0747 0.016028
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 1448 0.06492 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 599 0.14357
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 1939 0.80866
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.2335 0.233519
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0296 0.029581
## permutational_ancova_cortical_thickness$Gender 1 0.0004 0.000377
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0014 0.001370
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1791 0.025585
## Residuals 379 4.4639 0.011778
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 3305 0.02965 *
## permutational_ancova_cortical_thickness$Gender 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.01640 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0703 0.070306
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1717 0.171703
## permutational_ancova_cortical_thickness$Gender 1 0.0215 0.021509
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0021 0.002114
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0209 0.002983
## Residuals 379 7.4599 0.019683
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.0186 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 277 0.2671
## permutational_ancova_cortical_thickness$SSAGA_Educ 78 0.5641
## permutational_ancova_cortical_thickness$SSAGA_Income 282 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1393 0.139348
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1463 0.146268
## permutational_ancova_cortical_thickness$Gender 1 0.0992 0.099154
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0304 0.030372
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0843 0.012039
## Residuals 379 5.0614 0.013355
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 5000 0.0060 **
## permutational_ancova_cortical_thickness$SSAGA_Educ 254 0.2835
## permutational_ancova_cortical_thickness$SSAGA_Income 2205 0.4921
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1754 0.175443
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0458 0.045755
## permutational_ancova_cortical_thickness$Gender 1 0.0376 0.037632
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0005 0.000455
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.2326 0.033230
## Residuals 379 18.8853 0.049829
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.0174 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 215 0.3209
## permutational_ancova_cortical_thickness$Gender 166 0.3795
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 889 0.8931
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0066 0.006613
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1675 0.167544
## permutational_ancova_cortical_thickness$Gender 1 0.0031 0.003079
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0032 0.003181
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1071 0.015303
## Residuals 379 6.1547 0.016239
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 179 0.3631
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 0.7647
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 3218 0.4117
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0295 0.029523
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2613 0.261297
## permutational_ancova_cortical_thickness$Gender 1 0.0055 0.005525
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0138 0.013811
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1131 0.016157
## Residuals 379 4.7211 0.012457
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 531 0.1601
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 119 0.4622
## permutational_ancova_cortical_thickness$SSAGA_Educ 235 0.3021
## permutational_ancova_cortical_thickness$SSAGA_Income 1889 0.2245
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0000 0.000002
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3045 0.304488
## permutational_ancova_cortical_thickness$Gender 1 0.0081 0.008143
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0084 0.008428
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0690 0.009854
## Residuals 379 8.2079 0.021657
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.0000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 102 0.5000
## permutational_ancova_cortical_thickness$SSAGA_Educ 205 0.3317
## permutational_ancova_cortical_thickness$SSAGA_Income 148 0.9932
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0004 0.000402
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1799 0.179918
## permutational_ancova_cortical_thickness$Gender 1 0.0206 0.020610
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0069 0.006928
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0609 0.008706
## Residuals 379 5.6453 0.014895
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.0000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 51 0.7843
## permutational_ancova_cortical_thickness$SSAGA_Educ 111 0.4775
## permutational_ancova_cortical_thickness$SSAGA_Income 2473 0.6583
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0522 0.052183
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0367 0.036684
## permutational_ancova_cortical_thickness$Gender 1 0.0039 0.003897
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0011 0.001064
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0832 0.011882
## Residuals 379 4.9256 0.012996
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 2462 0.0394 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 776 0.1147
## permutational_ancova_cortical_thickness$Gender 158 0.3924
## permutational_ancova_cortical_thickness$SSAGA_Educ 71 0.5915
## permutational_ancova_cortical_thickness$SSAGA_Income 598 0.5401
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0811 0.081111
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0639 0.063872
## permutational_ancova_cortical_thickness$Gender 1 0.0002 0.000168
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0009 0.000899
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0275 0.003922
## Residuals 379 3.6516 0.009635
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0188 *
## permutational_ancova_cortical_thickness$Gender 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 1048 0.8712
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0270 0.026997
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1166 0.116644
## permutational_ancova_cortical_thickness$Gender 1 0.0663 0.066279
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0195 0.019502
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1900 0.027142
## Residuals 379 8.8492 0.023349
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 297 0.25253
## permutational_ancova_cortical_thickness$Age_in_Yrs 4149 0.02362 *
## permutational_ancova_cortical_thickness$Gender 928 0.09806 .
## permutational_ancova_cortical_thickness$SSAGA_Educ 141 0.41844
## permutational_ancova_cortical_thickness$SSAGA_Income 1352 0.66124
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0005 0.000474
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1553 0.155321
## permutational_ancova_cortical_thickness$Gender 1 0.0128 0.012787
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0010 0.000975
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0507 0.007238
## Residuals 379 4.6093 0.012162
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.0000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 1076 0.0855 .
## permutational_ancova_cortical_thickness$SSAGA_Educ 68 0.6029
## permutational_ancova_cortical_thickness$SSAGA_Income 546 0.8901
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0276 0.027587
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0917 0.091748
## permutational_ancova_cortical_thickness$Gender 1 0.0001 0.000107
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0001 0.000071
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1542 0.022027
## Residuals 379 4.4585 0.011764
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 2677 0.03623 *
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.00120 **
## permutational_ancova_cortical_thickness$Gender 51 0.94118
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.10480
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1869 0.186865
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1482 0.148185
## permutational_ancova_cortical_thickness$Gender 1 0.1774 0.177404
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0031 0.003101
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1354 0.019339
## Residuals 379 12.4945 0.032967
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 0.0006 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0044 **
## permutational_ancova_cortical_thickness$Gender 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 1529 0.7103
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0157 0.015657
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2989 0.298947
## permutational_ancova_cortical_thickness$Gender 1 0.0223 0.022286
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0006 0.000571
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0398 0.005688
## Residuals 379 4.7093 0.012426
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 349 0.2235
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 142 0.4155
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 480 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0280 0.02795
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.3225 0.32252
## permutational_ancova_cortical_thickness$Gender 1 0.0157 0.01571
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0019 0.00192
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0282 0.00403
## Residuals 379 6.1954 0.01635
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 99 0.5051
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 450 0.1822
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 0.8039
## permutational_ancova_cortical_thickness$SSAGA_Income 869 0.9655
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0221 0.022136
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.0490 0.048959
## permutational_ancova_cortical_thickness$Gender 1 0.0003 0.000314
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0034 0.003419
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0464 0.006628
## Residuals 379 3.9411 0.010399
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 953 0.09549 .
## permutational_ancova_cortical_thickness$Age_in_Yrs 1279 0.07271 .
## permutational_ancova_cortical_thickness$Gender 51 1.00000
## permutational_ancova_cortical_thickness$SSAGA_Educ 167 0.37725
## permutational_ancova_cortical_thickness$SSAGA_Income 1073 0.51817
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0001 0.000116
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2539 0.253869
## permutational_ancova_cortical_thickness$Gender 1 0.1893 0.189319
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0001 0.000078
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0492 0.007024
## Residuals 379 5.5085 0.014534
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1
## permutational_ancova_cortical_thickness$SSAGA_Income 304 1
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.1451 0.145050
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1320 0.131997
## permutational_ancova_cortical_thickness$Gender 1 0.0000 0.000008
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0049 0.004853
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0672 0.009605
## Residuals 379 4.6821 0.012354
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 0.0054 **
## permutational_ancova_cortical_thickness$Gender 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Educ 324 0.2377
## permutational_ancova_cortical_thickness$SSAGA_Income 5000 0.5462
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0960 0.09604
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.8753 0.87533
## permutational_ancova_cortical_thickness$Gender 1 0.1142 0.11421
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0012 0.00118
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1721 0.02459
## Residuals 379 15.1858 0.04007
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 805 0.1106
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Gender 729 0.1207
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 545 0.6477
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.2362 0.23623
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1780 0.17795
## permutational_ancova_cortical_thickness$Gender 1 0.0332 0.03320
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.3549 0.35487
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.2607 0.03724
## Residuals 379 30.9791 0.08174
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 813 0.1107
## permutational_ancova_cortical_thickness$Age_in_Yrs 683 0.1288
## permutational_ancova_cortical_thickness$Gender 318 0.2421
## permutational_ancova_cortical_thickness$SSAGA_Educ 51 1.0000
## permutational_ancova_cortical_thickness$SSAGA_Income 833 0.8884
## Residuals
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.5010 0.50098
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.1708 0.17075
## permutational_ancova_cortical_thickness$Gender 1 0.0001 0.00007
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0321 0.03206
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.1423 0.02033
## Residuals 379 10.8599 0.02865
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 5000 <2e-16 ***
## permutational_ancova_cortical_thickness$Age_in_Yrs 331 0.2326
## permutational_ancova_cortical_thickness$Gender 51 0.9608
## permutational_ancova_cortical_thickness$SSAGA_Educ 131 0.4351
## permutational_ancova_cortical_thickness$SSAGA_Income 51 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq
## permutational_ancova_cortical_thickness$Racial_identity 1 0.0627 0.06265
## permutational_ancova_cortical_thickness$Age_in_Yrs 1 0.2750 0.27500
## permutational_ancova_cortical_thickness$Gender 1 0.3226 0.32261
## permutational_ancova_cortical_thickness$SSAGA_Educ 1 0.0650 0.06500
## permutational_ancova_cortical_thickness$SSAGA_Income 7 0.0839 0.01199
## Residuals 379 7.1598 0.01889
## Iter Pr(Prob)
## permutational_ancova_cortical_thickness$Racial_identity 51 1.00000
## permutational_ancova_cortical_thickness$Age_in_Yrs 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$Gender 5000 < 2e-16 ***
## permutational_ancova_cortical_thickness$SSAGA_Educ 3761 0.02606 *
## permutational_ancova_cortical_thickness$SSAGA_Income 448 0.71875
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Extraction of p-values of the permutational analysis (permutational_ancova_cortical_thickness_adjage_educ_income[,c("columns with cortical thickness data")]
set.seed(1234)
pvalues_modpermut_cortical_thikness_adjage_gender_educ_income <- sapply(permutational_ancova_cortical_thickness[,6:73], function(x) aovp(x ~ permutational_ancova_cortical_thickness$Racial_identity+ permutational_ancova_cortical_thickness$Age_in_Yrs+ permutational_ancova_cortical_thickness$Gender+ permutational_ancova_cortical_thickness$SSAGA_Educ+ permutational_ancova_cortical_thickness$SSAGA_Income)$perm$P)## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## Conversion of p-values in a data frame format
pvalues_permutation_multiple_comparisons_cortical_thickness <- as.data.frame(pvalues_modpermut_cortical_thikness_adjage_gender_educ_income) %>% slice(2)
pvalues_permutation_multiple_comparisons_cortical_thickness <-pvalues_permutation_multiple_comparisons_cortical_thickness %>% gather(key = "cortical_thickness", value = "permutation_pvalue")
## Execution of Holm-Bonferroni multiple comparison analysis
pvalues_permutation_multiple_comparisons_cortical_thickness$Holm =p.adjust(pvalues_permutation_multiple_comparisons_cortical_thickness$permutation_pvalue,method ="holm")| Brain cortical regions | permutation p-values | Holm |
|---|---|---|
| L_Bankssts_Thck | 0.0126000 | 0.6174 |
| L_Caudalanteriorcingulate_Thck | 0.9607843 | 1.0000 |
| L_Caudalmiddlefrontal_Thck | 0.1146907 | 1.0000 |
| L_Cuneus_Thck | 0.0000000 | 0.0000 |
| L_Entorhinal_Thck | 0.0983784 | 1.0000 |
| L_Fusiform_Thck | 0.0000000 | 0.0000 |
| L_Inferiorparietal_Thck | 0.0072000 | 0.3672 |
| L_Inferiortemporal_Thck | 0.5555556 | 1.0000 |
| L_Isthmuscingulate_Thck | 0.3030303 | 1.0000 |
| L_Lateraloccipital_Thck | 0.0000000 | 0.0000 |
| L_Lateralorbitofrontal_Thck | 0.1773504 | 1.0000 |
| L_Lingual_Thck | 0.0000000 | 0.0000 |
| L_Medialorbitofrontal_Thck | 0.0323981 | 1.0000 |
| L_Middletemporal_Thck | 0.0745192 | 1.0000 |
| L_Parahippocampal_Thck | 0.6603774 | 1.0000 |
| L_Paracentral_Thck | 1.0000000 | 1.0000 |
| L_Parsopercularis_Thck | 0.2413793 | 1.0000 |
| L_Parsorbitalis_Thck | 1.0000000 | 1.0000 |
| L_Parstriangularis_Thck | 1.0000000 | 1.0000 |
| L_Pericalcarine_Thck | 0.0000000 | 0.0000 |
| L_Postcentral_Thck | 0.0000000 | 0.0000 |
| L_Posteriorcingulate_Thck | 0.2459547 | 1.0000 |
| L_Precentral_Thck | 1.0000000 | 1.0000 |
| L_Precuneus_Thck | 0.0802416 | 1.0000 |
| L_Rostralanteriorcingulate_Thck | 0.0138000 | 0.6624 |
| L_Rostralmiddlefrontal_Thck | 0.5542169 | 1.0000 |
| L_Superiorfrontal_Thck | 0.1426202 | 1.0000 |
| L_Superiorparietal_Thck | 0.1906977 | 1.0000 |
| L_Superiortemporal_Thck | 0.3961039 | 1.0000 |
| L_Supramarginal_Thck | 0.0264650 | 1.0000 |
| L_Frontalpole_Thck | 0.1806167 | 1.0000 |
| L_Temporalpole_Thck | 1.0000000 | 1.0000 |
| L_Transversetemporal_Thck | 0.0178000 | 0.8188 |
| L_Insula_Thck | 0.0912738 | 1.0000 |
| R_Bankssts_Thck | 0.0000000 | 0.0000 |
| R_Caudalanteriorcingulate_Thck | 0.9411765 | 1.0000 |
| R_Caudalmiddlefrontal_Thck | 0.0084000 | 0.4200 |
| R_Cuneus_Thck | 0.0000000 | 0.0000 |
| R_Entorhinal_Thck | 0.0000000 | 0.0000 |
| R_Fusiform_Thck | 0.0480721 | 1.0000 |
| R_Inferiorparietal_Thck | 0.0000000 | 0.0000 |
| R_Inferiortemporal_Thck | 0.0552647 | 1.0000 |
| R_Isthmuscingulate_Thck | 0.0872865 | 1.0000 |
| R_Lateraloccipital_Thck | 0.0000000 | 0.0000 |
| R_Lateralorbitofrontal_Thck | 0.0649171 | 1.0000 |
| R_Lingual_Thck | 0.0000000 | 0.0000 |
| R_Medialorbitofrontal_Thck | 0.0186000 | 0.8370 |
| R_Middletemporal_Thck | 0.0000000 | 0.0000 |
| R_Parahippocampal_Thck | 0.0174000 | 0.8178 |
| R_Paracentral_Thck | 0.3631285 | 1.0000 |
| R_Parsopercularis_Thck | 0.1600753 | 1.0000 |
| R_Parsorbitalis_Thck | 1.0000000 | 1.0000 |
| R_Parstriangularis_Thck | 1.0000000 | 1.0000 |
| R_Pericalcarine_Thck | 0.0393989 | 1.0000 |
| R_Postcentral_Thck | 0.0000000 | 0.0000 |
| R_Posteriorcingulate_Thck | 0.2525253 | 1.0000 |
| R_Precentral_Thck | 1.0000000 | 1.0000 |
| R_Precuneus_Thck | 0.0362346 | 1.0000 |
| R_Rostralanteriorcingulate_Thck | 0.0006000 | 0.0312 |
| R_Rostralmiddlefrontal_Thck | 0.2234957 | 1.0000 |
| R_Superiorfrontal_Thck | 0.5050505 | 1.0000 |
| R_Superiorparietal_Thck | 0.0954879 | 1.0000 |
| R_Superiortemporal_Thck | 1.0000000 | 1.0000 |
| R_Supramarginal_Thck | 0.0000000 | 0.0000 |
| R_Frontalpole_Thck | 0.1105590 | 1.0000 |
| R_Temporalpole_Thck | 0.1107011 | 1.0000 |
| R_Transversetemporal_Thck | 0.0000000 | 0.0000 |
| R_Insula_Thck | 1.0000000 | 1.0000 |
## cortical_thickness permutation_pvalue Holm
## 1 L_Cuneus_Thck 0e+00 0.0000
## 2 L_Fusiform_Thck 0e+00 0.0000
## 3 L_Lateraloccipital_Thck 0e+00 0.0000
## 4 L_Lingual_Thck 0e+00 0.0000
## 5 L_Pericalcarine_Thck 0e+00 0.0000
## 6 L_Postcentral_Thck 0e+00 0.0000
## 7 R_Bankssts_Thck 0e+00 0.0000
## 8 R_Cuneus_Thck 0e+00 0.0000
## 9 R_Entorhinal_Thck 0e+00 0.0000
## 10 R_Inferiorparietal_Thck 0e+00 0.0000
## 11 R_Lateraloccipital_Thck 0e+00 0.0000
## 12 R_Lingual_Thck 0e+00 0.0000
## 13 R_Middletemporal_Thck 0e+00 0.0000
## 14 R_Postcentral_Thck 0e+00 0.0000
## 15 R_Rostralanteriorcingulate_Thck 6e-04 0.0312
## 16 R_Supramarginal_Thck 0e+00 0.0000
## 17 R_Transversetemporal_Thck 0e+00 0.0000
## Warning: `fun.y` is deprecated. Use `fun` instead.
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
permutational_ancova_surface_area %>% na.omit() %>% select(c(2,6:73)) %>%
dplyr::rename(
"Left Banks STS" = L_Bankssts_Area,
"Left Caudal Anterior Cingulate" = L_Caudalanteriorcingulate_Area,
"Left Caudal Middle Frontal" = L_Caudalmiddlefrontal_Area,
"Left Cuneus" = L_Cuneus_Area,
"Left Entorhinal" = L_Entorhinal_Area,
"Left Fusiform" = L_Fusiform_Area,
"Left Inferior Parietal" = L_Inferiorparietal_Area,
"Left Inferior Temporal" = L_Inferiortemporal_Area,
"Left Isthmuscingulate" = L_Isthmuscingulate_Area,
"Left Lateral Occipital" = L_Lateraloccipital_Area,
"Left Lateral Orbitofrontal" = L_Lateralorbitofrontal_Area,
"Left Lingual" = L_Lingual_Area,
"Left Medialorbitofrontal" = L_Medialorbitofrontal_Area,
"Left Middletemporal" = L_Middletemporal_Area,
"Left Parahippocampal" = L_Parahippocampal_Area,
"Left Paracentral" = L_Paracentral_Area,
"Left Parsopercularis" = L_Parsopercularis_Area,
"Left Parsorbitalis" = L_Parsorbitalis_Area,
"Left Parstriangularis" = L_Parstriangularis_Area,
"Left Pericalcarine" = L_Pericalcarine_Area,
"Left Postcentral" = L_Postcentral_Area,
"Left Posterior Cingulate" = L_Posteriorcingulate_Area,
"Left Precentral" = L_Precentral_Area,
"Left Precuneus" = L_Precuneus_Area,
"Left Rostral anterior cingulate" = L_Rostralanteriorcingulate_Area,
"Left Rostral middle frontal" = L_Rostralmiddlefrontal_Area,
"Left Superior Frontal" = L_Superiorfrontal_Area,
"Left Superior Parietal" = L_Superiorparietal_Area,
"Left Superior Temporal" = L_Superiortemporal_Area,
"Left Supramarginal" = L_Supramarginal_Area,
"Left Frontal Pole" = L_Frontalpole_Area,
"Left Temporal Pole" = L_Temporalpole_Area,
"Left Transverse Temporal" = L_Transversetemporal_Area,
"Left Insula" = L_Insula_Area,
"Right Banks STS" = R_Bankssts_Area,
"Right Caudal Anterior Cingulate"= R_Caudalanteriorcingulate_Area,
"Right Caudal Middle Frontal" = R_Caudalmiddlefrontal_Area,
"Right Cuneus" = R_Cuneus_Area,
"Right Entorhinal" = R_Entorhinal_Area,
"Right Fusiform" = R_Fusiform_Area,
"Right Inferior Parietal" =R_Inferiorparietal_Area,
"Right Inferior Temporal" = R_Inferiortemporal_Area,
"Right Isthmuscingulate" = R_Isthmuscingulate_Area,
"Right Lateral Occipital" = R_Lateraloccipital_Area,
"Right Lateral Orbitofrontal" = R_Lateralorbitofrontal_Area,
"Right Lingual" = R_Lingual_Area,
"Right Medial Orbitofrontal" = R_Medialorbitofrontal_Area,
"Right Middle Temporal"= R_Middletemporal_Area,
"Right Parahippocampal" = R_Parahippocampal_Area,
"Right Paracentral" = R_Paracentral_Area,
"Right Parsopercularis"= R_Parsopercularis_Area,
"Right Parsorbitalis" = R_Parsorbitalis_Area,
"Right Parstriangularis" = R_Parstriangularis_Area,
"Right Pericalcarine" = R_Pericalcarine_Area,
"Right Postcentral" = R_Postcentral_Area,
"Right Posterior Cingulate" = R_Posteriorcingulate_Area,
"Right Precentral" = R_Precentral_Area,
"Right Precuneus" = R_Precuneus_Area,
"Right Rostral Anterior Cingulate" = R_Rostralanteriorcingulate_Area,
"Right Rostral Middle Frontal" = R_Rostralmiddlefrontal_Area,
"Right Superior Frontal" = R_Superiorfrontal_Area,
"Right Superior Parietal" = R_Superiorparietal_Area,
"Right Superior Temporal" = R_Superiortemporal_Area,
"Right Supramarginal" = R_Supramarginal_Area,
"Right Frontal Pole" = R_Frontalpole_Area,
"Right Temporal Pole" = R_Temporalpole_Area,
"Right Transverse Temporal" = R_Transversetemporal_Area,
"Right Insula" = R_Insula_Area ) %>% tbl_summary(by = Racial_identity, statistic = list(all_continuous() ~ "{mean} ({sd})"), digits = all_continuous() ~ function(x) format(x, format = "e", digits = 6)) %>%
modify_header(label ~ "**Brain Regions**") %>% as_gt()| Brain Regions | White, N = 3351 | Black or African Am., N = 561 |
|---|---|---|
| Left Banks STS | 1090.33 (187.857) | 1053.95 (181.688) |
| Left Caudal Anterior Cingulate | 704.609 (142.164) | 691.214 (171.189) |
| Left Caudal Middle Frontal | 2449.64 (419.162) | 2227.34 (411.954) |
| Left Cuneus | 1506.87 (219.553) | 1379.70 (213.901) |
| Left Entorhinal | 442.269 (89.4814) | 392.036 (79.9331) |
| Left Fusiform | 3462.79 (460.202) | 3241.14 (494.378) |
| Left Inferior Parietal | 4784.13 (697.784) | 4555.73 (697.133) |
| Left Inferior Temporal | 3535.21 (514.899) | 3151.93 (459.970) |
| Left Isthmuscingulate | 1146.46 (367.334) | 1039.59 (396.803) |
| Left Lateral Occipital | 4869.55 (621.979) | 4432.77 (606.078) |
| Left Lateral Orbitofrontal | 2733.41 (318.287) | 2511.55 (288.722) |
| Left Lingual | 3190.75 (415.092) | 2863.04 (396.938) |
| Left Medialorbitofrontal | 2040.33 (310.594) | 1927.62 (329.580) |
| Left Middletemporal | 3255.31 (459.286) | 2960.05 (441.082) |
| Left Parahippocampal | 752.893 (128.354) | 718.964 (117.083) |
| Left Paracentral | 1341.30 (200.675) | 1313.38 (164.918) |
| Left Parsopercularis | 1777.46 (293.377) | 1589.21 (246.493) |
| Left Parsorbitalis | 660.054 (84.4324) | 613.179 (78.1756) |
| Left Parstriangularis | 1338.01 (216.540) | 1273.68 (212.375) |
| Left Pericalcarine | 1511.64 (248.123) | 1385.70 (264.149) |
| Left Postcentral | 4240.89 (514.257) | 3998.84 (517.208) |
| Left Posterior Cingulate | 1241.95 (193.186) | 1201.57 (152.927) |
| Left Precentral | 4928.76 (618.145) | 4599.20 (549.386) |
| Left Precuneus | 3951.11 (511.976) | 3610.70 (519.087) |
| Left Rostral anterior cingulate | 903.773 (171.607) | 830.250 (159.754) |
| Left Rostral middle frontal | 6178.43 (844.455) | 5810.46 (796.104) |
| Left Superior Frontal | 7610.22 (962.951) | 6931.23 (868.670) |
| Left Superior Parietal | 5680.33 (731.003) | 5080.77 (565.338) |
| Left Superior Temporal | 3946.04 (491.293) | 3760.05 (455.162) |
| Left Supramarginal | 4050.87 (631.802) | 3767.02 (554.727) |
| Left Frontal Pole | 208.149 (33.7204) | 195.089 (33.9761) |
| Left Temporal Pole | 508.263 (61.7090) | 477.411 (60.3501) |
| Left Transverse Temporal | 464.734 (82.6921) | 445.768 (76.5589) |
| Left Insula | 2335.29 (290.999) | 2184.98 (256.330) |
| Right Banks STS | 1009.158 (158.446) | 951.625 (144.698) |
| Right Caudal Anterior Cingulate | 852.931 (224.018) | 790.232 (214.645) |
| Right Caudal Middle Frontal | 2289.21 (412.912) | 2031.68 (430.703) |
| Right Cuneus | 1544.09 (240.150) | 1404.12 (203.642) |
| Right Entorhinal | 371.988 (85.5521) | 340.768 (67.1617) |
| Right Fusiform | 3385.21 (485.103) | 3091.07 (409.400) |
| Right Inferior Parietal | 5770.69 (837.977) | 5466.62 (756.464) |
| Right Inferior Temporal | 3392.64 (493.629) | 3074.48 (461.852) |
| Right Isthmuscingulate | 1004.970 (185.272) | 947.804 (158.111) |
| Right Lateral Occipital | 4734.67 (607.326) | 4281.59 (629.353) |
| Right Lateral Orbitofrontal | 2657.8 (320.907) | 2486.0 (289.365) |
| Right Lingual | 3199.50 (422.641) | 2956.55 (423.849) |
| Right Medial Orbitofrontal | 1900.18 (240.230) | 1773.02 (219.818) |
| Right Middle Temporal | 3617.42 (485.336) | 3306.09 (413.054) |
| Right Parahippocampal | 720.934 (114.3897) | 685.071 ( 90.1848) |
| Right Paracentral | 1532.75 (226.837) | 1520.82 (249.460) |
| Right Parsopercularis | 1498.99 (265.773) | 1292.12 (226.984) |
| Right Parsorbitalis | 822.463 (106.355) | 745.054 ( 95.406) |
| Right Parstriangularis | 1542.83 (258.475) | 1520.66 (239.653) |
| Right Pericalcarine | 1641.83 (254.456) | 1550.45 (263.249) |
| Right Postcentral | 4045.89 (484.084) | 3881.04 (535.196) |
| Right Posterior Cingulate | 1301.06 (235.390) | 1187.12 (169.303) |
| Right Precentral | 5014.66 (590.347) | 4691.07 (549.048) |
| Right Precuneus | 4201.71 (609.588) | 3770.21 (527.036) |
| Right Rostral Anterior Cingulate | 698.143 (142.306) | 630.768 (148.744) |
| Right Rostral Middle Frontal | 6414.55 (883.613) | 6039.79 (836.828) |
| Right Superior Frontal | 7445.82 (928.692) | 6849.00 (828.756) |
| Right Superior Parietal | 5704.45 (699.319) | 5100.62 (558.739) |
| Right Superior Temporal | 3738.62 (442.197) | 3600.50 (413.430) |
| Right Supramarginal | 3837.79 (572.235) | 3617.39 (589.364) |
| Right Frontal Pole | 286.684 (46.4144) | 255.232 (41.2782) |
| Right Temporal Pole | 437.331 (57.5140) | 436.429 (69.3919) |
| Right Transverse Temporal | 344.227 (60.3191) | 332.071 (58.5454) |
| Right Insula | 2482.65 (296.405) | 2321.86 (310.777) |
|
1
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|
||
set.seed(1234)
permutational_ancova_surface_area_adjage_educ_income <- lapply(permutational_ancova_surface_area[,6:73], function(x) aovp(x ~ permutational_ancova_surface_area$Racial_identity+ permutational_ancova_surface_area$Age_in_Yrs+ permutational_ancova_surface_area$Gender+ permutational_ancova_surface_area$SSAGA_Educ+ permutational_ancova_surface_area$SSAGA_Income))## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2242 2242 51
## permutational_ancova_surface_area$Age_in_Yrs 1 95518 95518 3838
## permutational_ancova_surface_area$Gender 1 1782237 1782237 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 273135 273135 5000
## permutational_ancova_surface_area$SSAGA_Income 7 117178 16740 165
## Residuals 379 10811587 28527
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.68627
## permutational_ancova_surface_area$Age_in_Yrs 0.02553 *
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Income 1.00000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 13392 13392 414
## permutational_ancova_surface_area$Age_in_Yrs 1 13195 13195 107
## permutational_ancova_surface_area$Gender 1 446459 446459 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 45045 45045 1651
## permutational_ancova_surface_area$SSAGA_Income 7 134055 19151 4503
## Residuals 379 7576295 19990
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.19565
## permutational_ancova_surface_area$Age_in_Yrs 0.48598
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.05754 .
## permutational_ancova_surface_area$SSAGA_Income 0.54031
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 844556 844556 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 240043 240043 127
## permutational_ancova_surface_area$Gender 1 7439761 7439761 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 310740 310740 1429
## permutational_ancova_surface_area$SSAGA_Income 7 391018 55860 327
## Residuals 379 57712242 152275
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.00600 **
## permutational_ancova_surface_area$Age_in_Yrs 0.44094
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.06578 .
## permutational_ancova_surface_area$SSAGA_Income 0.97554
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 279408 279408 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 53768 53768 747
## permutational_ancova_surface_area$Gender 1 2771717 2771717 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 20528 20528 51
## permutational_ancova_surface_area$SSAGA_Income 7 378957 54137 3949
## Residuals 379 14883468 39270
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0186 *
## permutational_ancova_surface_area$Age_in_Yrs 0.1191
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.0000
## permutational_ancova_surface_area$SSAGA_Income 0.1142
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 58967 58967 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 749 749 51
## permutational_ancova_surface_area$Gender 1 459187 459187 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 24829 24829 3392
## permutational_ancova_surface_area$SSAGA_Income 7 18535 2648 772
## Residuals 379 2437559 6432
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.68627
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.02889 *
## permutational_ancova_surface_area$SSAGA_Income 0.71762
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 353020 353020 2326
## permutational_ancova_surface_area$Age_in_Yrs 1 883886 883886 3290
## permutational_ancova_surface_area$Gender 1 16873487 16873487 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 99328 99328 176
## permutational_ancova_surface_area$SSAGA_Income 7 2762279 394611 5000
## Residuals 379 59047967 155799
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.04127 *
## permutational_ancova_surface_area$Age_in_Yrs 0.02979 *
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.36364
## permutational_ancova_surface_area$SSAGA_Income 0.00040 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 132018 132018 72
## permutational_ancova_surface_area$Age_in_Yrs 1 1130788 1130788 51
## permutational_ancova_surface_area$Gender 1 37637435 37637435 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1452535 1452535 4804
## permutational_ancova_surface_area$SSAGA_Income 7 2851689 407384 4066
## Residuals 379 136607021 360441
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.5833
## permutational_ancova_surface_area$Age_in_Yrs 0.8627
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.0204 *
## permutational_ancova_surface_area$SSAGA_Income 0.3507
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2869915 2869915 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 2581812 2581812 5000
## permutational_ancova_surface_area$Gender 1 14493911 14493911 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 229584 229584 103
## permutational_ancova_surface_area$SSAGA_Income 7 4176660 596666 5000
## Residuals 379 73019044 192662
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs <2e-16 ***
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.4951
## permutational_ancova_surface_area$SSAGA_Income 0.0014 **
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 79941 79941 191
## permutational_ancova_surface_area$Age_in_Yrs 1 171441 171441 388
## permutational_ancova_surface_area$Gender 1 3014171 3014171 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 24591 24591 51
## permutational_ancova_surface_area$SSAGA_Income 7 652116 93159 1018
## Residuals 379 49085489 129513
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.3455
## permutational_ancova_surface_area$Age_in_Yrs 0.2062
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.9608
## permutational_ancova_surface_area$SSAGA_Income 0.7603
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 4366717 4366717 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 59190 59190 51
## permutational_ancova_surface_area$Gender 1 31093303 31093303 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 32433 32433 51
## permutational_ancova_surface_area$SSAGA_Income 7 1498133 214019 466
## Residuals 379 112454249 296713
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.9804
## permutational_ancova_surface_area$SSAGA_Income 0.6867
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 703296 703296 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 291754 291754 1707
## permutational_ancova_surface_area$Gender 1 6111857 6111857 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 70988 70988 51
## permutational_ancova_surface_area$SSAGA_Income 7 1304898 186414 5000
## Residuals 379 29070138 76702
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.05565 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.00000
## permutational_ancova_surface_area$SSAGA_Income 0.00080 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2569762 2569762 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 6076 6076 51
## permutational_ancova_surface_area$Gender 1 7733138 7733138 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 102210 102210 457
## permutational_ancova_surface_area$SSAGA_Income 7 789156 112737 2820
## Residuals 379 56691995 149583
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.1816
## permutational_ancova_surface_area$SSAGA_Income 0.6411
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 67876 67876 371
## permutational_ancova_surface_area$Age_in_Yrs 1 13597 13597 51
## permutational_ancova_surface_area$Gender 1 6024404 6024404 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 7136 7136 61
## permutational_ancova_surface_area$SSAGA_Income 7 1074867 153552 5000
## Residuals 379 30037726 79255
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.2129
## permutational_ancova_surface_area$Age_in_Yrs 0.8039
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.6230
## permutational_ancova_surface_area$SSAGA_Income 0.1058
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1452636 1452636 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 1203309 1203309 5000
## permutational_ancova_surface_area$Gender 1 13361540 13361540 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 435785 435785 504
## permutational_ancova_surface_area$SSAGA_Income 7 1357956 193994 1588
## Residuals 379 60684948 160119
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0028 **
## permutational_ancova_surface_area$Age_in_Yrs <2e-16 ***
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.1667
## permutational_ancova_surface_area$SSAGA_Income 0.3426
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 652 652 51
## permutational_ancova_surface_area$Age_in_Yrs 1 25423 25423 142
## permutational_ancova_surface_area$Gender 1 446951 446951 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 16379 16379 160
## permutational_ancova_surface_area$SSAGA_Income 7 156782 22397 5000
## Residuals 379 5477091 14451
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.8039
## permutational_ancova_surface_area$Age_in_Yrs 0.4155
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.3875
## permutational_ancova_surface_area$SSAGA_Income 0.2212
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 12605 12605 304
## permutational_ancova_surface_area$Age_in_Yrs 1 21075 21075 701
## permutational_ancova_surface_area$Gender 1 1453063 1453063 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 19368 19368 51
## permutational_ancova_surface_area$SSAGA_Income 7 519915 74274 2429
## Residuals 379 12557881 33134
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.2500
## permutational_ancova_surface_area$Age_in_Yrs 0.1255
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.0000
## permutational_ancova_surface_area$SSAGA_Income 0.1783
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 774206 774206 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 191474 191474 1024
## permutational_ancova_surface_area$Gender 1 2931796 2931796 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 7803 7803 51
## permutational_ancova_surface_area$SSAGA_Income 7 1400954 200136 5000
## Residuals 379 26626942 70256
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.08984 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.90196
## permutational_ancova_surface_area$SSAGA_Income 0.00080 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 26448 26448 1263
## permutational_ancova_surface_area$Age_in_Yrs 1 58854 58854 5000
## permutational_ancova_surface_area$Gender 1 325247 325247 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 2992 2992 176
## permutational_ancova_surface_area$SSAGA_Income 7 66942 9563 5000
## Residuals 379 2143787 5656
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.07363 .
## permutational_ancova_surface_area$Age_in_Yrs < 2e-16 ***
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.36364
## permutational_ancova_surface_area$SSAGA_Income 0.08320 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 10705 10705 160
## permutational_ancova_surface_area$Age_in_Yrs 1 151408 151408 5000
## permutational_ancova_surface_area$Gender 1 1660163 1660163 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 3069 3069 51
## permutational_ancova_surface_area$SSAGA_Income 7 524521 74932 1017
## Residuals 379 15323459 40431
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.3875
## permutational_ancova_surface_area$Age_in_Yrs <2e-16 ***
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.0000
## permutational_ancova_surface_area$SSAGA_Income 0.2055
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 348897 348897 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 139102 139102 51
## permutational_ancova_surface_area$Gender 1 2692566 2692566 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 23341 23341 51
## permutational_ancova_surface_area$SSAGA_Income 7 166405 23772 117
## Residuals 379 21366792 56377
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0186 *
## permutational_ancova_surface_area$Age_in_Yrs 0.7255
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.7059
## permutational_ancova_surface_area$SSAGA_Income 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 379736 379736 339
## permutational_ancova_surface_area$Age_in_Yrs 1 434493 434493 1644
## permutational_ancova_surface_area$Gender 1 20793576 20793576 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 60061 60061 75
## permutational_ancova_surface_area$SSAGA_Income 7 3581149 511593 5000
## Residuals 379 73653065 194335
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.23009
## permutational_ancova_surface_area$Age_in_Yrs 0.05779 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.57333
## permutational_ancova_surface_area$SSAGA_Income 0.02780 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2390 2390 51
## permutational_ancova_surface_area$Age_in_Yrs 1 49963 49963 969
## permutational_ancova_surface_area$Gender 1 1805445 1805445 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 148671 148671 5000
## permutational_ancova_surface_area$SSAGA_Income 7 262705 37529 1171
## Residuals 379 10996971 29016
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 1.00000
## permutational_ancova_surface_area$Age_in_Yrs 0.09391 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.00500 **
## permutational_ancova_surface_area$SSAGA_Income 0.30999
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1391310 1391310 1001
## permutational_ancova_surface_area$Age_in_Yrs 1 358742 358742 185
## permutational_ancova_surface_area$Gender 1 26350496 26350496 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 717867 717867 625
## permutational_ancova_surface_area$SSAGA_Income 7 2020159 288594 2045
## Residuals 379 109512602 288951
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.09091 .
## permutational_ancova_surface_area$Age_in_Yrs 0.35135
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.13920
## permutational_ancova_surface_area$SSAGA_Income 0.23276
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1716490 1716490 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 1140357 1140357 5000
## permutational_ancova_surface_area$Gender 1 18213228 18213228 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 132779 132779 51
## permutational_ancova_surface_area$SSAGA_Income 7 4655660 665094 5000
## Residuals 379 72664130 191726
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0056 **
## permutational_ancova_surface_area$Age_in_Yrs 0.0092 **
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.7843
## permutational_ancova_surface_area$SSAGA_Income <2e-16 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 31124 31124 809
## permutational_ancova_surface_area$Age_in_Yrs 1 48150 48150 63
## permutational_ancova_surface_area$Gender 1 1326114 1326114 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 159976 159976 5000
## permutational_ancova_surface_area$SSAGA_Income 7 353514 50502 3789
## Residuals 379 8885308 23444
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.11001
## permutational_ancova_surface_area$Age_in_Yrs 0.61905
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Income 0.02586 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 864595 864595 51
## permutational_ancova_surface_area$Age_in_Yrs 1 922336 922336 1007
## permutational_ancova_surface_area$Gender 1 57854101 57854101 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 107564 107564 51
## permutational_ancova_surface_area$SSAGA_Income 7 6786337 969477 4843
## Residuals 379 194925829 514316
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 1.00000
## permutational_ancova_surface_area$Age_in_Yrs 0.09037 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.88235
## permutational_ancova_surface_area$SSAGA_Income 0.09787 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 7349511 7349511 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 5178973 5178973 5000
## permutational_ancova_surface_area$Gender 1 67685140 67685140 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 819300 819300 1507
## permutational_ancova_surface_area$SSAGA_Income 7 10392327 1484618 5000
## Residuals 379 245970432 648999
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.00060 ***
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.06238 .
## permutational_ancova_surface_area$SSAGA_Income 0.00720 **
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 6302632 6302632 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 1663507 1663507 1075
## permutational_ancova_surface_area$Gender 1 21280292 21280292 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1412758 1412758 51
## permutational_ancova_surface_area$SSAGA_Income 7 9991536 1427362 5000
## Residuals 379 153599226 405275
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.08558 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.00000
## permutational_ancova_surface_area$SSAGA_Income < 2e-16 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 29330 29330 124
## permutational_ancova_surface_area$Age_in_Yrs 1 266706 266706 587
## permutational_ancova_surface_area$Gender 1 20837970 20837970 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 585904 585904 2164
## permutational_ancova_surface_area$SSAGA_Income 7 2731984 390283 5000
## Residuals 379 63307532 167038
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.45161
## permutational_ancova_surface_area$Age_in_Yrs 0.14651
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.04436 *
## permutational_ancova_surface_area$SSAGA_Income 0.00300 **
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 346376 346376 942
## permutational_ancova_surface_area$Age_in_Yrs 1 468119 468119 759
## permutational_ancova_surface_area$Gender 1 35304747 35304747 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1588573 1588573 1550
## permutational_ancova_surface_area$SSAGA_Income 7 5921872 845982 5000
## Residuals 379 97912502 258344
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.09660 .
## permutational_ancova_surface_area$Age_in_Yrs 0.11726
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.06065 .
## permutational_ancova_surface_area$SSAGA_Income 0.00600 **
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2227 2227 2690
## permutational_ancova_surface_area$Age_in_Yrs 1 299 299 51
## permutational_ancova_surface_area$Gender 1 55005 55005 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1229 1229 256
## permutational_ancova_surface_area$SSAGA_Income 7 18539 2648 5000
## Residuals 379 355229 937
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.03606 *
## permutational_ancova_surface_area$Age_in_Yrs 1.00000
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.28125
## permutational_ancova_surface_area$SSAGA_Income < 2e-16 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 15398 15398 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 1370 1370 102
## permutational_ancova_surface_area$Gender 1 183761 183761 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 14655 14655 2203
## permutational_ancova_surface_area$SSAGA_Income 7 16227 2318 2438
## Residuals 379 1216690 3210
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.00820 **
## permutational_ancova_surface_area$Age_in_Yrs 0.50000
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.04358 *
## permutational_ancova_surface_area$SSAGA_Income 0.59311
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 359 359 143
## permutational_ancova_surface_area$Age_in_Yrs 1 7655 7655 327
## permutational_ancova_surface_area$Gender 1 259893 259893 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 598 598 51
## permutational_ancova_surface_area$SSAGA_Income 7 65051 9293 5000
## Residuals 379 2224412 5869
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.4126
## permutational_ancova_surface_area$Age_in_Yrs 0.2355
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.8431
## permutational_ancova_surface_area$SSAGA_Income 0.0924 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 226417 226417 2462
## permutational_ancova_surface_area$Age_in_Yrs 1 24844 24844 55
## permutational_ancova_surface_area$Gender 1 5081137 5081137 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 544461 544461 5000
## permutational_ancova_surface_area$SSAGA_Income 7 984282 140612 5000
## Residuals 379 24140907 63696
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0394 *
## permutational_ancova_surface_area$Age_in_Yrs 0.6545
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.0004 ***
## permutational_ancova_surface_area$SSAGA_Income 0.0270 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 43679 43679 51
## permutational_ancova_surface_area$Age_in_Yrs 1 80680 80680 664
## permutational_ancova_surface_area$Gender 1 890463 890463 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 62157 62157 1117
## permutational_ancova_surface_area$SSAGA_Income 7 115303 16472 472
## Residuals 379 8081888 21324
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.94118
## permutational_ancova_surface_area$Age_in_Yrs 0.13102
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.08236 .
## permutational_ancova_surface_area$SSAGA_Income 0.64619
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 43447 43447 212
## permutational_ancova_surface_area$Age_in_Yrs 1 50496 50496 51
## permutational_ancova_surface_area$Gender 1 446534 446534 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 93637 93637 471
## permutational_ancova_surface_area$SSAGA_Income 7 171631 24519 728
## Residuals 379 18360360 48444
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.3208
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.1762
## permutational_ancova_surface_area$SSAGA_Income 0.7830
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1313656 1313656 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 523503 523503 2821
## permutational_ancova_surface_area$Gender 1 5525505 5525505 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 94101 94101 175
## permutational_ancova_surface_area$SSAGA_Income 7 1246804 178115 5000
## Residuals 379 57955570 152917
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.03438 *
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.36571
## permutational_ancova_surface_area$SSAGA_Income 0.39480
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 468061 468061 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 5034 5034 51
## permutational_ancova_surface_area$Gender 1 2174834 2174834 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 4284 4284 51
## permutational_ancova_surface_area$SSAGA_Income 7 415800 59400 1200
## Residuals 379 18586851 49042
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0094 **
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.7059
## permutational_ancova_surface_area$SSAGA_Income 0.3708
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 13164 13164 81
## permutational_ancova_surface_area$Age_in_Yrs 1 1100 1100 51
## permutational_ancova_surface_area$Gender 1 292136 292136 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 9007 9007 51
## permutational_ancova_surface_area$SSAGA_Income 7 11892 1699 261
## Residuals 379 2325101 6135
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.5556
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.0000
## permutational_ancova_surface_area$SSAGA_Income 0.9310
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 979123 979123 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 877436 877436 5000
## permutational_ancova_surface_area$Gender 1 18142270 18142270 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 225895 225895 53
## permutational_ancova_surface_area$SSAGA_Income 7 2969145 424164 5000
## Residuals 379 60986602 160915
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0004 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.0092 **
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.6604
## permutational_ancova_surface_area$SSAGA_Income 0.0020 **
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 266772 266772 51
## permutational_ancova_surface_area$Age_in_Yrs 1 3864761 3864761 5000
## permutational_ancova_surface_area$Gender 1 57566641 57566641 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1438730 1438730 3947
## permutational_ancova_surface_area$SSAGA_Income 7 4705851 672264 746
## Residuals 379 180712650 476814
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 1.00000
## permutational_ancova_surface_area$Age_in_Yrs 0.00880 **
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.02483 *
## permutational_ancova_surface_area$SSAGA_Income 0.41421
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1701978 1701978 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 750210 750210 973
## permutational_ancova_surface_area$Gender 1 15288279 15288279 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 258990 258990 804
## permutational_ancova_surface_area$SSAGA_Income 7 1801843 257406 5000
## Residuals 379 70797780 186802
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.00400 **
## permutational_ancova_surface_area$Age_in_Yrs 0.09353 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.11070
## permutational_ancova_surface_area$SSAGA_Income 0.14220
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 7557 7557 51
## permutational_ancova_surface_area$Age_in_Yrs 1 138031 138031 5000
## permutational_ancova_surface_area$Gender 1 1590411 1590411 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 51945 51945 75
## permutational_ancova_surface_area$SSAGA_Income 7 279417 39917 5000
## Residuals 379 10285619 27139
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 1.0000
## permutational_ancova_surface_area$Age_in_Yrs 0.0134 *
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.5733
## permutational_ancova_surface_area$SSAGA_Income 0.1378
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 3922367 3922367 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 422872 422872 964
## permutational_ancova_surface_area$Gender 1 25733827 25733827 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 456609 456609 325
## permutational_ancova_surface_area$SSAGA_Income 7 2233871 319124 2205
## Residuals 379 110725030 292150
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.0944 .
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.2369
## permutational_ancova_surface_area$SSAGA_Income 0.3410
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 311889 311889 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 237847 237847 951
## permutational_ancova_surface_area$Gender 1 6762879 6762879 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 322561 322561 5000
## permutational_ancova_surface_area$SSAGA_Income 7 712421 101774 5000
## Residuals 379 29025714 76585
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.01080 *
## permutational_ancova_surface_area$Age_in_Yrs 0.09569 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.01620 *
## permutational_ancova_surface_area$SSAGA_Income 0.15760
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 919325 919325 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 72401 72401 51
## permutational_ancova_surface_area$Gender 1 10887252 10887252 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 306222 306222 1426
## permutational_ancova_surface_area$SSAGA_Income 7 826265 118038 991
## Residuals 379 55113860 145419
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.00400 **
## permutational_ancova_surface_area$Age_in_Yrs 0.96078
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.06592 .
## permutational_ancova_surface_area$SSAGA_Income 0.43491
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 180122 180122 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 140857 140857 523
## permutational_ancova_surface_area$Gender 1 3545691 3545691 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 214242 214242 5000
## permutational_ancova_surface_area$SSAGA_Income 7 673385 96198 5000
## Residuals 379 16190131 42718
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0150 *
## permutational_ancova_surface_area$Age_in_Yrs 0.1606
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.0052 **
## permutational_ancova_surface_area$SSAGA_Income 0.0366 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1727105 1727105 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 923250 923250 609
## permutational_ancova_surface_area$Gender 1 14120111 14120111 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 752151 752151 4650
## permutational_ancova_surface_area$SSAGA_Income 7 1474743 210678 5000
## Residuals 379 66189178 174642
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.00100 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.14122
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.02108 *
## permutational_ancova_surface_area$SSAGA_Income 0.29240
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2722 2722 219
## permutational_ancova_surface_area$Age_in_Yrs 1 10222 10222 51
## permutational_ancova_surface_area$Gender 1 448763 448763 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 56325 56325 5000
## permutational_ancova_surface_area$SSAGA_Income 7 97303 13900 2008
## Residuals 379 4060210 10713
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.3151
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.0130 *
## permutational_ancova_surface_area$SSAGA_Income 0.2570
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 28543 28543 51
## permutational_ancova_surface_area$Age_in_Yrs 1 714 714 51
## permutational_ancova_surface_area$Gender 1 2382208 2382208 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 38111 38111 221
## permutational_ancova_surface_area$SSAGA_Income 7 263315 37616 1152
## Residuals 379 17526388 46244
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.7451
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.3122
## permutational_ancova_surface_area$SSAGA_Income 0.3533
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1301307 1301307 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 106147 106147 51
## permutational_ancova_surface_area$Gender 1 2079331 2079331 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 24667 24667 51
## permutational_ancova_surface_area$SSAGA_Income 7 133011 19002 233
## Residuals 379 23425719 61809
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.7647
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.7059
## permutational_ancova_surface_area$SSAGA_Income 0.9871
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 90705 90705 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 50478 50478 1388
## permutational_ancova_surface_area$Gender 1 460573 460573 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 28157 28157 1040
## permutational_ancova_surface_area$SSAGA_Income 7 175265 25038 5000
## Residuals 379 3381766 8923
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.06772 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.08846 .
## permutational_ancova_surface_area$SSAGA_Income 0.00020 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 20173 20173 51
## permutational_ancova_surface_area$Age_in_Yrs 1 102194 102194 1742
## permutational_ancova_surface_area$Gender 1 1964475 1964475 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 27202 27202 250
## permutational_ancova_surface_area$SSAGA_Income 7 1039281 148469 5000
## Residuals 379 21739353 57360
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.94118
## permutational_ancova_surface_area$Age_in_Yrs 0.05454 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.28800
## permutational_ancova_surface_area$SSAGA_Income 0.01100 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 142518 142518 699
## permutational_ancova_surface_area$Age_in_Yrs 1 81953 81953 475
## permutational_ancova_surface_area$Gender 1 2562863 2562863 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 90340 90340 173
## permutational_ancova_surface_area$SSAGA_Income 7 67037 9577 156
## Residuals 379 22577272 59571
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.1259
## permutational_ancova_surface_area$Age_in_Yrs 0.1747
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.3699
## permutational_ancova_surface_area$SSAGA_Income 1.0000
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 52923 52923 130
## permutational_ancova_surface_area$Age_in_Yrs 1 425063 425063 1312
## permutational_ancova_surface_area$Gender 1 19036211 19036211 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 18716 18716 56
## permutational_ancova_surface_area$SSAGA_Income 7 3045191 435027 5000
## Residuals 379 67701783 178633
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.43846
## permutational_ancova_surface_area$Age_in_Yrs 0.07088 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.64286
## permutational_ancova_surface_area$SSAGA_Income 0.01360 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 168394 168394 3828
## permutational_ancova_surface_area$Age_in_Yrs 1 265822 265822 1864
## permutational_ancova_surface_area$Gender 1 1379804 1379804 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 168864 168864 1047
## permutational_ancova_surface_area$SSAGA_Income 7 454323 64903 5000
## Residuals 379 17241324 45492
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.02560 *
## permutational_ancova_surface_area$Age_in_Yrs 0.05097 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.08787 .
## permutational_ancova_surface_area$SSAGA_Income 0.14140
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 1116311 1116311 766
## permutational_ancova_surface_area$Age_in_Yrs 1 277228 277228 470
## permutational_ancova_surface_area$Gender 1 31118784 31118784 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 379113 379113 1164
## permutational_ancova_surface_area$SSAGA_Income 7 2474136 353448 1336
## Residuals 379 92576045 244264
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.11619
## permutational_ancova_surface_area$Age_in_Yrs 0.17660
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.07990 .
## permutational_ancova_surface_area$SSAGA_Income 0.07036 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 2710670 2710670 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 743134 743134 468
## permutational_ancova_surface_area$Gender 1 30489995 30489995 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 294888 294888 832
## permutational_ancova_surface_area$SSAGA_Income 7 4516766 645252 5000
## Residuals 379 95850603 252904
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.1774
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.1082
## permutational_ancova_surface_area$SSAGA_Income 0.0088 **
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 60154 60154 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 203 203 51
## permutational_ancova_surface_area$Gender 1 964665 964665 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 187 187 51
## permutational_ancova_surface_area$SSAGA_Income 7 308741 44106 5000
## Residuals 379 6589699 17387
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.0134 *
## permutational_ancova_surface_area$Age_in_Yrs 1.0000
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.0000
## permutational_ancova_surface_area$SSAGA_Income 0.0272 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 694697 694697 843
## permutational_ancova_surface_area$Age_in_Yrs 1 2161476 2161476 1236
## permutational_ancova_surface_area$Gender 1 52096574 52096574 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 966680 966680 51
## permutational_ancova_surface_area$SSAGA_Income 7 8433234 1204748 5000
## Residuals 379 221020485 583168
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.10676
## permutational_ancova_surface_area$Age_in_Yrs 0.07524 .
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.00000
## permutational_ancova_surface_area$SSAGA_Income 0.04900 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 4132493 4132493 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 2626441 2626441 4221
## permutational_ancova_surface_area$Gender 1 74314883 74314883 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1225173 1225173 51
## permutational_ancova_surface_area$SSAGA_Income 7 9646981 1378140 5000
## Residuals 379 218996209 577826
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.02322 *
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 1.00000
## permutational_ancova_surface_area$SSAGA_Income 0.00020 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 6535061 6535061 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 1010784 1010784 2943
## permutational_ancova_surface_area$Gender 1 25639489 25639489 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 1655134 1655134 5000
## permutational_ancova_surface_area$SSAGA_Income 7 7962748 1137535 5000
## Residuals 379 135933417 358663
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity < 2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.03296 *
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.00920 **
## permutational_ancova_surface_area$SSAGA_Income < 2e-16 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 139 139 51
## permutational_ancova_surface_area$Age_in_Yrs 1 1137910 1137910 5000
## permutational_ancova_surface_area$Gender 1 13548657 13548657 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 213752 213752 2459
## permutational_ancova_surface_area$SSAGA_Income 7 3474320 496331 5000
## Residuals 379 52476449 138460
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 1.00000
## permutational_ancova_surface_area$Age_in_Yrs 0.01680 *
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.03945 *
## permutational_ancova_surface_area$SSAGA_Income < 2e-16 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 190134 190134 239
## permutational_ancova_surface_area$Age_in_Yrs 1 66392 66392 51
## permutational_ancova_surface_area$Gender 1 23210464 23210464 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 663012 663012 4733
## permutational_ancova_surface_area$SSAGA_Income 7 4097289 585327 5000
## Residuals 379 96008872 253322
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.29707
## permutational_ancova_surface_area$Age_in_Yrs 1.00000
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.02071 *
## permutational_ancova_surface_area$SSAGA_Income 0.01620 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 22534 22534 5000
## permutational_ancova_surface_area$Age_in_Yrs 1 10479 10479 5000
## permutational_ancova_surface_area$Gender 1 72485 72485 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 3525 3525 238
## permutational_ancova_surface_area$SSAGA_Income 7 11780 1683 1332
## Residuals 379 684863 1807
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity <2e-16 ***
## permutational_ancova_surface_area$Age_in_Yrs 0.0106 *
## permutational_ancova_surface_area$Gender <2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.2983
## permutational_ancova_surface_area$SSAGA_Income 0.4242
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 5759 5759 995
## permutational_ancova_surface_area$Age_in_Yrs 1 4606 4606 262
## permutational_ancova_surface_area$Gender 1 87871 87871 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 7195 7195 1024
## permutational_ancova_surface_area$SSAGA_Income 7 27430 3919 613
## Residuals 379 1220609 3221
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.09146 .
## permutational_ancova_surface_area$Age_in_Yrs 0.27863
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.08984 .
## permutational_ancova_surface_area$SSAGA_Income 0.46982
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 191 191 51
## permutational_ancova_surface_area$Age_in_Yrs 1 899 899 51
## permutational_ancova_surface_area$Gender 1 148356 148356 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 3773 3773 376
## permutational_ancova_surface_area$SSAGA_Income 7 41121 5874 2614
## Residuals 379 1177928 3108
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.72549
## permutational_ancova_surface_area$Age_in_Yrs 0.72549
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.21011
## permutational_ancova_surface_area$SSAGA_Income 0.05662 .
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Component 1 :
## Df R Sum Sq R Mean Sq Iter
## permutational_ancova_surface_area$Racial_identity 1 195775 195775 1139
## permutational_ancova_surface_area$Age_in_Yrs 1 13738 13738 51
## permutational_ancova_surface_area$Gender 1 8793769 8793769 5000
## permutational_ancova_surface_area$SSAGA_Educ 1 91756 91756 594
## permutational_ancova_surface_area$SSAGA_Income 7 1274091 182013 5000
## Residuals 379 23315423 61518
## Pr(Prob)
## permutational_ancova_surface_area$Racial_identity 0.08077 .
## permutational_ancova_surface_area$Age_in_Yrs 1.00000
## permutational_ancova_surface_area$Gender < 2e-16 ***
## permutational_ancova_surface_area$SSAGA_Educ 0.14478
## permutational_ancova_surface_area$SSAGA_Income < 2e-16 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Extraction of p-values of the permutational analysis (permutational_ancova_surface_area_adjage_educ_income[,c("columns with surface area data")]
set.seed(1234)
pvalues_modpermut_surface_area_adjage_gender_educ_income <- sapply(permutational_ancova_surface_area[,6:73], function(x) aovp(x ~ permutational_ancova_surface_area$Racial_identity+ permutational_ancova_surface_area$Age_in_Yrs+ permutational_ancova_surface_area$Gender+ permutational_ancova_surface_area$SSAGA_Educ+ permutational_ancova_surface_area$SSAGA_Income)$perm$P)## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
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## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## [1] "Settings: unique SS : numeric variables centered"
## Conversion of p-values in a data frame format
pvalues_permutation_multiple_comparisons_surface_area <- as.data.frame(pvalues_modpermut_surface_area_adjage_gender_educ_income) %>% slice(2)
pvalues_permutation_multiple_comparisons_surface_area <-pvalues_permutation_multiple_comparisons_surface_area%>% gather(key = "surface_area", value = "permutation_pvalue")
## Execution of Holm-Bonferroni multiple comparison analysis
pvalues_permutation_multiple_comparisons_surface_area$Holm =p.adjust(pvalues_permutation_multiple_comparisons_surface_area$permutation_pvalue,method ="holm")| Brain surface regions | permutation p-values | Holm |
|---|---|---|
| L_Bankssts_Area | 0.6862745 | 1.0000000 |
| L_Caudalanteriorcingulate_Area | 0.1956522 | 1.0000000 |
| L_Caudalmiddlefrontal_Area | 0.0060000 | 0.2760000 |
| L_Cuneus_Area | 0.0186000 | 0.7440000 |
| L_Entorhinal_Area | 0.0000000 | 0.0000000 |
| L_Fusiform_Area | 0.0412726 | 1.0000000 |
| L_Inferiorparietal_Area | 0.5833333 | 1.0000000 |
| L_Inferiortemporal_Area | 0.0000000 | 0.0000000 |
| L_Isthmuscingulate_Area | 0.3455497 | 1.0000000 |
| L_Lateraloccipital_Area | 0.0000000 | 0.0000000 |
| L_Lateralorbitofrontal_Area | 0.0000000 | 0.0000000 |
| L_Lingual_Area | 0.0000000 | 0.0000000 |
| L_Medialorbitofrontal_Area | 0.2129380 | 1.0000000 |
| L_Middletemporal_Area | 0.0028000 | 0.1400000 |
| L_Parahippocampal_Area | 0.8039216 | 1.0000000 |
| L_Paracentral_Area | 0.2500000 | 1.0000000 |
| L_Parsopercularis_Area | 0.0000000 | 0.0000000 |
| L_Parsorbitalis_Area | 0.0736342 | 1.0000000 |
| L_Parstriangularis_Area | 0.3875000 | 1.0000000 |
| L_Pericalcarine_Area | 0.0186000 | 0.7440000 |
| L_Postcentral_Area | 0.2300885 | 1.0000000 |
| L_Posteriorcingulate_Area | 1.0000000 | 1.0000000 |
| L_Precentral_Area | 0.0909091 | 1.0000000 |
| L_Precuneus_Area | 0.0056000 | 0.2632000 |
| L_Rostralanteriorcingulate_Area | 0.1100124 | 1.0000000 |
| L_Rostralmiddlefrontal_Area | 1.0000000 | 1.0000000 |
| L_Superiorfrontal_Area | 0.0000000 | 0.0000000 |
| L_Superiorparietal_Area | 0.0000000 | 0.0000000 |
| L_Superiortemporal_Area | 0.4516129 | 1.0000000 |
| L_Supramarginal_Area | 0.0966030 | 1.0000000 |
| L_Frontalpole_Area | 0.0360595 | 1.0000000 |
| L_Temporalpole_Area | 0.0082000 | 0.3690000 |
| L_Transversetemporal_Area | 0.4125874 | 1.0000000 |
| L_Insula_Area | 0.0393989 | 1.0000000 |
| R_Bankssts_Area | 0.9411765 | 1.0000000 |
| R_Caudalanteriorcingulate_Area | 0.3207547 | 1.0000000 |
| R_Caudalmiddlefrontal_Area | 0.0000000 | 0.0000000 |
| R_Cuneus_Area | 0.0094000 | 0.4136000 |
| R_Entorhinal_Area | 0.5555556 | 1.0000000 |
| R_Fusiform_Area | 0.0004000 | 0.0208000 |
| R_Inferiorparietal_Area | 1.0000000 | 1.0000000 |
| R_Inferiortemporal_Area | 0.0040000 | 0.1960000 |
| R_Isthmuscingulate_Area | 1.0000000 | 1.0000000 |
| R_Lateraloccipital_Area | 0.0000000 | 0.0000000 |
| R_Lateralorbitofrontal_Area | 0.0108000 | 0.4644000 |
| R_Lingual_Area | 0.0040000 | 0.1960000 |
| R_Medialorbitofrontal_Area | 0.0150000 | 0.6150000 |
| R_Middletemporal_Area | 0.0010000 | 0.0510000 |
| R_Parahippocampal_Area | 0.3150685 | 1.0000000 |
| R_Paracentral_Area | 0.7450980 | 1.0000000 |
| R_Parsopercularis_Area | 0.0000000 | 0.0000000 |
| R_Parsorbitalis_Area | 0.0000000 | 0.0000000 |
| R_Parstriangularis_Area | 0.9411765 | 1.0000000 |
| R_Pericalcarine_Area | 0.1258941 | 1.0000000 |
| R_Postcentral_Area | 0.4384615 | 1.0000000 |
| R_Posteriorcingulate_Area | 0.0256008 | 0.9728318 |
| R_Precentral_Area | 0.1161880 | 1.0000000 |
| R_Precuneus_Area | 0.0000000 | 0.0000000 |
| R_Rostralanteriorcingulate_Area | 0.0134000 | 0.5628000 |
| R_Rostralmiddlefrontal_Area | 0.1067616 | 1.0000000 |
| R_Superiorfrontal_Area | 0.0000000 | 0.0000000 |
| R_Superiorparietal_Area | 0.0000000 | 0.0000000 |
| R_Superiortemporal_Area | 1.0000000 | 1.0000000 |
| R_Supramarginal_Area | 0.2970711 | 1.0000000 |
| R_Frontalpole_Area | 0.0000000 | 0.0000000 |
| R_Temporalpole_Area | 0.0914573 | 1.0000000 |
| R_Transversetemporal_Area | 0.7254902 | 1.0000000 |
| R_Insula_Area | 0.0807726 | 1.0000000 |
## surface_area permutation_pvalue Holm
## 1 L_Entorhinal_Area 0e+00 0.0000
## 2 L_Inferiortemporal_Area 0e+00 0.0000
## 3 L_Lateraloccipital_Area 0e+00 0.0000
## 4 L_Lateralorbitofrontal_Area 0e+00 0.0000
## 5 L_Lingual_Area 0e+00 0.0000
## 6 L_Parsopercularis_Area 0e+00 0.0000
## 7 L_Superiorfrontal_Area 0e+00 0.0000
## 8 L_Superiorparietal_Area 0e+00 0.0000
## 9 R_Caudalmiddlefrontal_Area 0e+00 0.0000
## 10 R_Fusiform_Area 4e-04 0.0208
## 11 R_Lateraloccipital_Area 0e+00 0.0000
## 12 R_Parsopercularis_Area 0e+00 0.0000
## 13 R_Parsorbitalis_Area 0e+00 0.0000
## 14 R_Precuneus_Area 0e+00 0.0000
## 15 R_Superiorfrontal_Area 0e+00 0.0000
## 16 R_Superiorparietal_Area 0e+00 0.0000
## 17 R_Frontalpole_Area 0e+00 0.0000
## Warning: `fun.y` is deprecated. Use `fun` instead.
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
### Factorized GENDER, RACIAL IDENTITY, and ECONOMIC INCOME variables
data_connectomehcp_filtered_paired$Racial_identity <- factor(data_connectomehcp_filtered_paired$Racial_identity, levels = c("White","Black or African Am."),labels = c("0","1"))
data_connectomehcp_filtered_paired$Gender <-factor(data_connectomehcp_filtered_paired$Gender, levels = c("M","F"),labels = c("0","1"))
data_connectomehcp_filtered_paired$Gender <-factor(data_connectomehcp_filtered_paired$Gender, levels = c("0","1"),labels = c("M","F"))
data_connectomehcp_filtered_paired$Racial_identity <- factor(data_connectomehcp_filtered_paired$Racial_identity, levels = c("0","1"),labels = c("White","Black or African Am."))data_connectomehcp_filtered_paired_table_descriptives <- data_connectomehcp_filtered_paired %>% select(Age_in_Yrs,Racial_identity,SSAGA_Educ,Gender,SSAGA_Income) %>% tbl_summary(by = Racial_identity, label = list( Age_in_Yrs ~ "Age (y)", SSAGA_Educ ~ "Education(y)", Gender ~ "Sex", SSAGA_Income ~ "Economic Income "), type = list(SSAGA_Educ ~ 'continuous'), statistic = c("Age_in_Yrs", "SSAGA_Educ") ~ "{mean} ({sd})", digits = all_continuous() ~ 2) %>% add_p(pvalue_fun = ~style_pvalue(.x, digits = 3), list(all_continuous() ~ "t.test")) %>% add_n() %>% modify_caption("**Table 1. Descriptives for racial identity**") %>% modify_header(label ~ "") %>% bold_labels() %>% modify_spanning_header(all_stat_cols() ~ "**Racial Identity**") %>% as_gt()%>% opt_align_table_header(align = "left")
data_connectomehcp_filtered_paired_table_descriptives| N | Racial Identity | p-value2 | ||
|---|---|---|---|---|
| White, N = 561 | Black or African Am., N = 561 | |||
| Age (y) | 112 | 29.18 (3.79) | 29.25 (3.62) | 0.919 |
| Education(y) | 112 | 14.27 (1.80) | 14.41 (1.90) | 0.684 |
| Sex | 112 | >0.999 | ||
| M | 23 (41%) | 23 (41%) | ||
| F | 33 (59%) | 33 (59%) | ||
| Economic Income | 112 | 0.527 | ||
| <$10000 | 3 (5.4%) | 7 (12%) | ||
| >=100000 | 7 (12%) | 6 (11%) | ||
| 10K-19999 | 5 (8.9%) | 10 (18%) | ||
| 20K-29999 | 9 (16%) | 9 (16%) | ||
| 30K-39999 | 8 (14%) | 10 (18%) | ||
| 40K-49999 | 9 (16%) | 5 (8.9%) | ||
| 50K-74999 | 13 (23%) | 8 (14%) | ||
| 75K-99999 | 2 (3.6%) | 1 (1.8%) | ||
|
1
Mean (SD); n (%)
2
Welch Two Sample t-test; Pearson's Chi-squared test; Fisher's exact test
|
||||
## Selection of brain volumetric and Racial identity variables
data_connectomehcp_filtered_paired_volumetry <- data_connectomehcp_filtered_paired %>% select(c(2,142:153,160:198))
## Welch t-test analysis with non-homogeneous of variance assumption
data_connectomehcp_filtered_paired_volumetry_welcht_test <- lapply(data_connectomehcp_filtered_paired_volumetry[c(2:52)], function(x) t.test(x ~ data_connectomehcp_filtered_paired_volumetry$Racial_identity, var.equal = FALSE))
data_connectomehcp_filtered_paired_volumetry_welcht_test ## $BrainSeg_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.6337, df = 67.186, p-value = 0.01047
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.049090044 -0.006762595
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.7394504 0.7673767
##
##
## $BrainSeg_Vol_No_Vent
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.4872, df = 68.868, p-value = 0.0153
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.048092462 -0.005281342
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.7281336 0.7548205
##
##
## $BrainSeg_Vol_No_Vent_Surf
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.4841, df = 68.883, p-value = 0.01542
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.048001620 -0.005241775
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.7269555 0.7535772
##
##
## $Lcort_GM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.4835, df = 85.959, p-value = 0.1416
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.008976845 0.001304554
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.1578459 0.1616821
##
##
## $Rcort_GM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.2459, df = 74.254, p-value = 0.2167
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.008143323 0.001877330
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.1621293 0.1652623
##
##
## $TotCort_GM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.3846, df = 77.552, p-value = 0.1701
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.016990803 0.003052368
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.3199752 0.3269445
##
##
## $SubCort_GM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.8787, df = 80.837, p-value = 0.005108
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0036604586 -0.0006683756
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.03838516 0.04054958
##
##
## $Total_GM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.3871, df = 73.352, p-value = 0.1696
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.021998370 0.003942658
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.4317209 0.4407487
##
##
## $SupraTentorial_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.7973, df = 70.753, p-value = 0.006633
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.045751823 -0.007669755
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.6459050 0.6726158
##
##
## $L_WM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.4438, df = 81.885, p-value = 0.0009066
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.012476439 -0.003339924
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.1376464 0.1455546
##
##
## $R_WM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.5241, df = 81.452, p-value = 0.0007002
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.013139989 -0.003657147
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.1395991 0.1479976
##
##
## $Tot_WM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.4892, df = 81.586, p-value = 0.0007838
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.025604462 -0.007009044
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.2772455 0.2935522
##
##
## $L_LatVent_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.94902, df = 105.19, p-value = 0.3448
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0012136178 0.0004279226
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.003993524 0.004386372
##
##
## $L_InfLatVent_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.074581, df = 108.84, p-value = 0.9407
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.820077e-05 2.615539e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0001327119 0.0001337345
##
##
## $L_Cerebellum_WM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.752, df = 84.522, p-value = 0.007246
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0011880049 -0.0001913637
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.009199890 0.009889574
##
##
## $L_Cerebellum_Cort_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = 0.11944, df = 102.9, p-value = 0.9052
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.001310037 0.001477931
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.03635298 0.03626904
##
##
## $L_ThalamusProper_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.4456, df = 88.098, p-value = 0.0008748
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0006133033 -0.0001646326
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.005272672 0.005661640
##
##
## $L_Caudate_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.4843, df = 89.545, p-value = 0.01484
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.761480e-04 -3.072866e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.002407263 0.002560702
##
##
## $L_Putamen_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.4908, df = 92.244, p-value = 0.1394
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.802033e-04 5.415935e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.003506415 0.003669437
##
##
## $L_Pallidum_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.9964, df = 95.72, p-value = 0.04874
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.290328e-04 -3.662861e-07
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0008446911 0.0009093907
##
##
## $`3rdVent_Vol`
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.22467, df = 109.48, p-value = 0.8227
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -6.152642e-05 4.899723e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0004840765 0.0004903411
##
##
## $`4thVent_Vol`
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.80717, df = 104.26, p-value = 0.4214
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.932356e-04 8.143191e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.001097183 0.001153085
##
##
## $BrainStem_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.1863, df = 76.288, p-value = 0.002089
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0015451073 -0.0003565123
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.01368114 0.01463195
##
##
## $L_Hippo_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.8061, df = 99.602, p-value = 0.07392
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.939382e-04 9.105367e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.002804027 0.002896444
##
##
## $L_Amygdala_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.3706, df = 106.02, p-value = 0.1734
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -6.622185e-05 1.208549e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0009856341 0.0010127022
##
##
## $CSF_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.0007, df = 109.99, p-value = 0.04789
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -9.210095e-05 -4.371499e-07
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0006468318 0.0006931009
##
##
## $L_AccumbensArea_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.5605, df = 100.85, p-value = 0.01194
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -5.179481e-05 -6.573124e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0003440178 0.0003732018
##
##
## $L_VentDC_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.6109, df = 81.089, p-value = 0.1111
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.170542e-04 2.282978e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.002668395 0.002765507
##
##
## $L_Vessel_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = 0.17, df = 109.12, p-value = 0.8653
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.068451e-05 1.268938e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4.591875e-05 4.491632e-05
##
##
## $L_ChoroidPlexus_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.2577, df = 101.9, p-value = 0.001527
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.368119e-04 -3.325918e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0006868131 0.0007718486
##
##
## $R_LatVent_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.5545, df = 109.99, p-value = 0.1229
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0012589339 0.0001521157
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.003592941 0.004146350
##
##
## $R_InfLatVent_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.65801, df = 109.15, p-value = 0.5119
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -4.166886e-05 2.089690e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0001396077 0.0001499937
##
##
## $R_Cerebellum_WM_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.766, df = 88.31, p-value = 0.00691
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0011887927 -0.0001947821
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.009379461 0.010071248
##
##
## $R_Cerebellum_Cort_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.02941, df = 102.75, p-value = 0.9766
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.001478980 0.001435759
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.03739171 0.03741332
##
##
## $R_ThalamusProper_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.6616, df = 86.119, p-value = 0.0004318
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0006016339 -0.0001782381
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.004643536 0.005033472
##
##
## $R_Caudate_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.5247, df = 93.676, p-value = 0.01326
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.825860e-04 -3.377385e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.002484572 0.002642752
##
##
## $R_Putamen_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.037, df = 92.991, p-value = 0.0445
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.940574e-04 -5.011787e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.003484101 0.003683635
##
##
## $R_Pallidum_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.8089, df = 91.304, p-value = 0.006081
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0001402153 -0.0000240528
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0009225036 0.0010046377
##
##
## $R_Hippo_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.1114, df = 97.891, p-value = 0.03729
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.002450e-04 -6.202919e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.002857079 0.002960303
##
##
## $R_Amygdala_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.23, df = 101.34, p-value = 0.02795
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -8.976165e-05 -5.248490e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.001025007 0.001072512
##
##
## $R_AccumbensArea_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -1.8698, df = 105.76, p-value = 0.06428
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -4.332555e-05 1.269613e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0003745089 0.0003955369
##
##
## $R_VentDC_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.1815, df = 86.699, p-value = 0.03185
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -2.536160e-04 -1.178932e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.002680394 0.002813097
##
##
## $R_Vessel_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = 0.39449, df = 109.85, p-value = 0.694
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -9.30185e-06 1.39254e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 5.311242e-05 5.080065e-05
##
##
## $R_ChoroidPlexus_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -2.8995, df = 88.881, p-value = 0.004709
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.734109e-04 -3.238056e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0007813777 0.0008842734
##
##
## $`5thVent_Vol`
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = 0.91054, df = 109.99, p-value = 0.3645
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -7.419488e-07 2.003254e-06
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.006748e-06 2.376095e-06
##
##
## $OpticChiasm_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -4.298, df = 109.8, p-value = 3.743e-05
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.669130e-05 -1.353302e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0001409181 0.0001660302
##
##
## $CC_Posterior_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.3861, df = 107.02, p-value = 0.0009922
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.059977e-04 -2.771635e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0006058901 0.0006727472
##
##
## $CC_MidPosterior_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.54431, df = 110, p-value = 0.5873
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.662768e-05 2.084283e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0002944588 0.0003023512
##
##
## $CC_Central_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.38226, df = 107.77, p-value = 0.703
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.340025e-05 2.260085e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0003256024 0.0003310021
##
##
## $CC_MidAnterior_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -0.76986, df = 109.63, p-value = 0.443
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.952183e-05 1.740721e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0003210983 0.0003321556
##
##
## $CC_Anterior_Vol
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_volumetry$Racial_identity
## t = -3.3067, df = 109.56, p-value = 0.001277
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -9.535257e-05 -2.388692e-05
## sample estimates:
## mean in group White mean in group Black or African Am.
## 0.0005726357 0.0006322555
# p-values Welch t-test analysis with non-homogeneous of variance assumption
pvalues_data_connectomehcp_filtered_paired_volumetry_welch_t_test <- sapply(data_connectomehcp_filtered_paired_volumetry[c(2:52)], function(x) t.test(x ~ data_connectomehcp_filtered_paired_volumetry$Racial_identity, var.equal = FALSE)$p.value)
pvalues_data_connectomehcp_filtered_paired_volumetry_welch_t_test <- as.data.frame(pvalues_data_connectomehcp_filtered_paired_volumetry_welch_t_test) %>% dplyr::rename(pvalue=pvalues_data_connectomehcp_filtered_paired_volumetry_welch_t_test) %>% dplyr::select(1)
## Execution of Holm-Bonferroni multiple comparison analysis
pvalues_data_connectomehcp_filtered_paired_volumetry_welch_t_test$Holm =p.adjust(pvalues_data_connectomehcp_filtered_paired_volumetry_welch_t_test$pvalue,method ="holm") | p-values | Holm | |
|---|---|---|
| BrainSeg_Vol | 0.0104735 | 0.3665730 |
| BrainSeg_Vol_No_Vent | 0.0153004 | 0.4748403 |
| BrainSeg_Vol_No_Vent_Surf | 0.0154228 | 0.4748403 |
| Lcort_GM_Vol | 0.1416079 | 1.0000000 |
| Rcort_GM_Vol | 0.2167243 | 1.0000000 |
| TotCort_GM_Vol | 0.1701450 | 1.0000000 |
| SubCort_GM_Vol | 0.0051079 | 0.2043166 |
| Total_GM_Vol | 0.1696203 | 1.0000000 |
| SupraTentorial_Vol | 0.0066331 | 0.2520562 |
| L_WM_Vol | 0.0009066 | 0.0417046 |
| R_WM_Vol | 0.0007002 | 0.0343076 |
| Tot_WM_Vol | 0.0007838 | 0.0376245 |
| L_LatVent_Vol | 0.3447852 | 1.0000000 |
| L_InfLatVent_Vol | 0.9406851 | 1.0000000 |
| L_Cerebellum_WM_Vol | 0.0072465 | 0.2608739 |
| L_Cerebellum_Cort_Vol | 0.9051632 | 1.0000000 |
| L_ThalamusProper_Vol | 0.0008748 | 0.0411153 |
| L_Caudate_Vol | 0.0148388 | 0.4748403 |
| L_Putamen_Vol | 0.1394374 | 1.0000000 |
| L_Pallidum_Vol | 0.0487354 | 1.0000000 |
| 3rdVent_Vol | 0.8226556 | 1.0000000 |
| 4thVent_Vol | 0.4214039 | 1.0000000 |
| BrainStem_Vol | 0.0020890 | 0.0877380 |
| L_Hippo_Vol | 0.0739198 | 1.0000000 |
| L_Amygdala_Vol | 0.1733854 | 1.0000000 |
| CSF_Vol | 0.0478915 | 1.0000000 |
| L_AccumbensArea_Vol | 0.0119355 | 0.4058063 |
| L_VentDC_Vol | 0.1110783 | 1.0000000 |
| L_Vessel_Vol | 0.8653262 | 1.0000000 |
| L_ChoroidPlexus_Vol | 0.0015265 | 0.0656406 |
| R_LatVent_Vol | 0.1229415 | 1.0000000 |
| R_InfLatVent_Vol | 0.5119190 | 1.0000000 |
| R_Cerebellum_WM_Vol | 0.0069102 | 0.2556774 |
| R_Cerebellum_Cort_Vol | 0.9765949 | 1.0000000 |
| R_ThalamusProper_Vol | 0.0004318 | 0.0215885 |
| R_Caudate_Vol | 0.0132620 | 0.4376467 |
| R_Putamen_Vol | 0.0444959 | 1.0000000 |
| R_Pallidum_Vol | 0.0060808 | 0.2371511 |
| R_Hippo_Vol | 0.0372874 | 1.0000000 |
| R_Amygdala_Vol | 0.0279513 | 0.8105887 |
| R_AccumbensArea_Vol | 0.0642832 | 1.0000000 |
| R_VentDC_Vol | 0.0318520 | 0.8918547 |
| R_Vessel_Vol | 0.6939837 | 1.0000000 |
| R_ChoroidPlexus_Vol | 0.0047090 | 0.1930687 |
| 5thVent_Vol | 0.3645295 | 1.0000000 |
| OpticChiasm_Vol | 0.0000374 | 0.0019090 |
| CC_Posterior_Vol | 0.0009922 | 0.0446501 |
| CC_MidPosterior_Vol | 0.5873288 | 1.0000000 |
| CC_Central_Vol | 0.7030239 | 1.0000000 |
| CC_MidAnterior_Vol | 0.4430363 | 1.0000000 |
| CC_Anterior_Vol | 0.0012771 | 0.0561929 |
## pvalue Holm
## L_WM_Vol 9.066218e-04 0.041704604
## R_WM_Vol 7.001549e-04 0.034307590
## Tot_WM_Vol 7.838433e-04 0.037624480
## L_ThalamusProper_Vol 8.747937e-04 0.041115302
## R_ThalamusProper_Vol 4.317700e-04 0.021588499
## OpticChiasm_Vol 3.743104e-05 0.001908983
## CC_Posterior_Vol 9.922238e-04 0.044650072
data_connectomehcp_filtered_paired_volumetry %>%
dplyr::rename(
"Brain Seg"= BrainSeg_Vol,
"Brain Seg No Vent" = BrainSeg_Vol_No_Vent,
"Brain Seg No Vent Surf" = BrainSeg_Vol_No_Vent_Surf,
"Left Cortical GM" = Lcort_GM_Vol,
"Right Cortical GM" =Rcort_GM_Vol,
"Cortical GM" = TotCort_GM_Vol,
"Subcortical GM" = SubCort_GM_Vol,
"Total GM" = Total_GM_Vol,
"SupraTentorial" = SupraTentorial_Vol,
"Left WM" = L_WM_Vol,
"Right WM" = R_WM_Vol,
"Total WM" = Tot_WM_Vol,
"Left Lat Ventricle" = L_LatVent_Vol,
"Left Inf Lat Ventricle" = L_InfLatVent_Vol,
"Left Cerebellum WM" = L_Cerebellum_WM_Vol,
"Left Cerebellum Cortex" = L_Cerebellum_Cort_Vol,
"Left Thalamus Proper" = L_ThalamusProper_Vol,
"Left Caudate" = L_Caudate_Vol,
"Left Putamen" = L_Putamen_Vol,
"Left Pallidum" = L_Pallidum_Vol,
"3rd Ventricle" = `3rdVent_Vol`,
"4th Ventricle" = `4thVent_Vol`,
"Brain Stem" = BrainStem_Vol,
"Left Hippocampus" = L_Hippo_Vol,
"Left Amygdala"= L_Amygdala_Vol,
"CSF" = CSF_Vol,
"Left Accumbens Area" = L_AccumbensArea_Vol,
"Left Vent Diencephalon" = L_VentDC_Vol,
"Left Vessel" = L_Vessel_Vol,
"Left Choroid Plexus" = L_ChoroidPlexus_Vol,
"Right Lat Ventricle"= R_LatVent_Vol,
"Right Inf Lat Ventricle"= R_InfLatVent_Vol,
"Right Cerebellum WM"=R_Cerebellum_WM_Vol,
"Right Cerebellum Cortex" = R_Cerebellum_Cort_Vol,
"Right Thalamus Proper" = R_ThalamusProper_Vol,
"Right Caudate" = R_Caudate_Vol,
"Right Putamen" = R_Putamen_Vol,
"Right Pallidum" = R_Pallidum_Vol,
"Right Hippocampus" = R_Hippo_Vol,
"Right Amygdala"= R_Amygdala_Vol,
"Right Accumbens Area" = R_AccumbensArea_Vol,
"Right Vent Diencephalon"= R_VentDC_Vol,
"Right Vessel" = R_Vessel_Vol,
"Right Choroid Plexus"= R_ChoroidPlexus_Vol,
"5th Ventricle" = `5thVent_Vol`,
"Optic Chiasm" = OpticChiasm_Vol,
"CC Posterior"= CC_Posterior_Vol,
"CC MidPosterior"= CC_MidPosterior_Vol,
"CC Central" = CC_Central_Vol,
"CC MidAnterior" = CC_MidAnterior_Vol,
"CC Anterior" = CC_Anterior_Vol) %>% tbl_summary(by = Racial_identity, statistic = list(all_continuous() ~ "{mean} ({sd})"), digits = all_continuous() ~ function(x) format(x, format = "e", digits = 4)) %>% add_difference() %>% add_q(method = "holm", pvalue_fun = function(x) style_pvalue(x, digits = 3)) %>% as_gt()## add_q: Adjusting p-values with
## `stats::p.adjust(x$table_body$p.value, method = "holm")`
| Characteristic | White, N = 561 | Black or African Am., N = 561 | Difference2 | 95% CI2,3 | p-value2 | q-value4 |
|---|---|---|---|---|---|---|
| Brain Seg | 0.7395 (0.02520) | 0.7674 (0.07524) | -0.03 | -0.05, -0.01 | 0.010 | 0.367 |
| Brain Seg No Vent | 0.7281 (0.02706) | 0.7548 (0.07559) | -0.03 | -0.05, -0.01 | 0.015 | 0.475 |
| Brain Seg No Vent Surf | 0.7270 (0.02704) | 0.7536 (0.07550) | -0.03 | -0.05, -0.01 | 0.015 | 0.475 |
| Left Cortical GM | 0.1578 (0.009392) | 0.1617 (0.016919) | 0.00 | -0.01, 0.00 | 0.14 | >0.999 |
| Right Cortical GM | 0.1621 (0.007363) | 0.1653 (0.017318) | 0.00 | -0.01, 0.00 | 0.2 | >0.999 |
| Cortical GM | 0.3200 (0.01583) | 0.3269 (0.03418) | -0.01 | -0.02, 0.00 | 0.2 | >0.999 |
| Subcortical GM | 0.03839 (0.002514) | 0.04055 (0.005034) | 0.00 | 0.00, 0.00 | 0.005 | 0.204 |
| Total GM | 0.4317 (0.01865) | 0.4407 (0.04499) | -0.01 | -0.02, 0.00 | 0.2 | >0.999 |
| SupraTentorial | 0.6459 (0.02553) | 0.6726 (0.06674) | -0.03 | -0.05, -0.01 | 0.007 | 0.252 |
| Left WM | 0.1376 (0.007819) | 0.1456 (0.015303) | -0.01 | -0.01, 0.00 | <0.001 | 0.042 |
| Right WM | 0.1396 (0.008055) | 0.1480 (0.015912) | -0.01 | -0.01, 0.00 | <0.001 | 0.034 |
| Total WM | 0.2772 (0.01583) | 0.2936 (0.03118) | -0.02 | -0.03, -0.01 | <0.001 | 0.038 |
| Left Lat Ventricle | 0.003994 (0.002413) | 0.004386 (0.001942) | 0.00 | 0.00, 0.00 | 0.3 | >0.999 |
| Left Inf Lat Ventricle | 0.0001327 (6.871e-05) | 0.0001337 (7.621e-05) | 0.00 | 0.00, 0.00 | >0.9 | >0.999 |
| Left Cerebellum WM | 0.00920 (0.0008905) | 0.00989 (0.0016505) | 0.00 | 0.00, 0.00 | 0.007 | 0.261 |
| Left Cerebellum Cortex | 0.03635 (0.003194) | 0.03627 (0.004179) | 0.00 | 0.00, 0.00 | >0.9 | >0.999 |
| Left Thalamus Proper | 0.005273 (0.0004230) | 0.005662 (0.0007313) | 0.00 | 0.00, 0.00 | <0.001 | 0.041 |
| Left Caudate | 0.002407 (0.0002361) | 0.002561 (0.0003973) | 0.00 | 0.00, 0.00 | 0.015 | 0.475 |
| Left Putamen | 0.003506 (0.0004335) | 0.003669 (0.0006941) | 0.00 | 0.00, 0.00 | 0.14 | >0.999 |
| Left Pallidum | 0.0008447 (0.0001343) | 0.0009094 (0.0002019) | 0.00 | 0.00, 0.00 | 0.049 | >0.999 |
| 3rd Ventricle | 0.0004841 (0.0001424) | 0.0004903 (0.0001525) | 0.00 | 0.00, 0.00 | 0.8 | >0.999 |
| 4th Ventricle | 0.001097 (0.0003206) | 0.001153 (0.0004072) | 0.00 | 0.00, 0.00 | 0.4 | >0.999 |
| Brain Stem | 0.01368 (0.0009143) | 0.01463 (0.0020374) | 0.00 | 0.00, 0.00 | 0.002 | 0.088 |
| Left Hippocampus | 0.002804 (0.0002228) | 0.002896 (0.0003114) | 0.00 | 0.00, 0.00 | 0.074 | >0.999 |
| Left Amygdala | 0.0009856 (9.384e-05) | 0.0010127 (1.142e-04) | 0.00 | 0.00, 0.00 | 0.2 | >0.999 |
| CSF | 0.0006468 (0.0001218) | 0.0006931 (0.0001229) | 0.00 | 0.00, 0.00 | 0.048 | >0.999 |
| Left Accumbens Area | 0.0003440 (5.042e-05) | 0.0003732 (6.880e-05) | 0.00 | 0.00, 0.00 | 0.012 | 0.406 |
| Left Vent Diencephalon | 0.002668 (0.0002025) | 0.002766 (0.0004031) | 0.00 | 0.00, 0.00 | 0.11 | >0.999 |
| Left Vessel | 4.592e-05 (2.977e-05) | 4.492e-05 (3.257e-05) | 0.00 | 0.00, 0.00 | 0.9 | >0.999 |
| Left Choroid Plexus | 0.0006868 (0.0001170) | 0.0007718 (0.0001564) | 0.00 | 0.00, 0.00 | 0.002 | 0.066 |
| Right Lat Ventricle | 0.003593 (0.001893) | 0.004146 (0.001875) | 0.00 | 0.00, 0.00 | 0.12 | >0.999 |
| Right Inf Lat Ventricle | 0.0001396 (7.975e-05) | 0.0001500 (8.713e-05) | 0.00 | 0.00, 0.00 | 0.5 | >0.999 |
| Right Cerebellum WM | 0.009379 (0.0009399) | 0.010071 (0.0016185) | 0.00 | 0.00, 0.00 | 0.007 | 0.256 |
| Right Cerebellum Cortex | 0.03739 (0.003332) | 0.03741 (0.004374) | 0.00 | 0.00, 0.00 | >0.9 | >0.999 |
| Right Thalamus Proper | 0.004644 (0.0003877) | 0.005033 (0.0006962) | 0.00 | 0.00, 0.00 | <0.001 | 0.022 |
| Right Caudate | 0.002485 (0.0002530) | 0.002643 (0.0003947) | 0.00 | 0.00, 0.00 | 0.013 | 0.438 |
| Right Putamen | 0.003484 (0.0003921) | 0.003684 (0.0006193) | 0.00 | 0.00, 0.00 | 0.044 | >0.999 |
| Right Pallidum | 0.0009225 (0.0001145) | 0.0010046 (0.0001865) | 0.00 | 0.00, 0.00 | 0.006 | 0.237 |
| Right Hippocampus | 0.002857 (0.0002083) | 0.002960 (0.0003008) | 0.00 | 0.00, 0.00 | 0.037 | >0.999 |
| Right Amygdala | 0.001025 (9.483e-05) | 0.001073 (1.281e-04) | 0.00 | 0.00, 0.00 | 0.028 | 0.811 |
| Right Accumbens Area | 0.0003745 (5.322e-05) | 0.0003955 (6.519e-05) | 0.00 | 0.00, 0.00 | 0.064 | >0.999 |
| Right Vent Diencephalon | 0.002680 (0.0002234) | 0.002813 (0.0003966) | 0.00 | 0.00, 0.00 | 0.032 | 0.892 |
| Right Vessel | 5.311e-05 (3.043e-05) | 5.080e-05 (3.158e-05) | 0.00 | 0.00, 0.00 | 0.7 | >0.999 |
| Right Choroid Plexus | 0.0007814 (0.0001344) | 0.0008843 (0.0002290) | 0.00 | 0.00, 0.00 | 0.005 | 0.193 |
| 5th Ventricle | 3.007e-06 (3.685e-06) | 2.376e-06 (3.645e-06) | 0.00 | 0.00, 0.00 | 0.4 | >0.999 |
| Optic Chiasm | 0.0001409 (3.026e-05) | 0.0001660 (3.156e-05) | 0.00 | 0.00, 0.00 | <0.001 | 0.002 |
| CC Posterior | 0.0006059 (9.536e-05) | 0.0006727 (1.129e-04) | 0.00 | 0.00, 0.00 | <0.001 | 0.045 |
| CC MidPosterior | 0.0002945 (7.662e-05) | 0.0003024 (7.683e-05) | 0.00 | 0.00, 0.00 | 0.6 | >0.999 |
| CC Central | 0.0003256 (7.994e-05) | 0.0003310 (6.916e-05) | 0.00 | 0.00, 0.00 | 0.7 | >0.999 |
| CC MidAnterior | 0.0003211 (7.817e-05) | 0.0003322 (7.376e-05) | 0.00 | 0.00, 0.00 | 0.4 | >0.999 |
| CC Anterior | 0.0005726 (9.839e-05) | 0.0006323 (9.232e-05) | 0.00 | 0.00, 0.00 | 0.001 | 0.056 |
|
1
Mean (SD)
2
Welch Two Sample t-test
3
CI = Confidence Interval
4
Holm correction for multiple testing
|
||||||
data_connectomehcp_filtered_paired_volumetry_wrap <- data_connectomehcp_filtered_paired_volumetry %>% dplyr::select(c(1,11,12,13,47,48,18,36))%>% dplyr::rename(
"Cortical WM*"=Tot_WM_Vol,
"Left Cortical WM*"= L_WM_Vol,
"Right Cortical WM*"= R_WM_Vol,
"Optic Chiasm***"=OpticChiasm_Vol,
"CC Posterior*"= CC_Posterior_Vol,
"Left Thalamus Proper*"= L_ThalamusProper_Vol,
"Right Thalamus Proper*"= R_ThalamusProper_Vol,
) %>% gather(key = "volumetry", value = "cubic_milimeters_ICV", -Racial_identity)
plot_volumetry_paired_corrected_permutation_facet <- ggplot(data = data_connectomehcp_filtered_paired_volumetry_wrap, aes(y = cubic_milimeters_ICV , x = volumetry, fill = Racial_identity)) +
geom_half_violin((aes(fill = factor(Racial_identity))),position = position_nudge(x = .6, y = 0), alpha = .8) +
geom_boxplot(aes(y = cubic_milimeters_ICV , x = volumetry,fill=Racial_identity), position = position_dodge(.5), notch = TRUE,outlier.shape = NA, width= 0.3, alpha =0.4, show.legend = FALSE) + stat_summary(aes(y = cubic_milimeters_ICV , x = volumetry,fill=Racial_identity),fun.y="mean",position = position_dodge(.5), show.legend = FALSE) + geom_point((aes(colour = factor(Racial_identity))), position = position_jitterdodge(dodge.width = 0.55), size = .5, alpha = .8, show.legend = FALSE) +
#coord_cartesian(ylim=c(0,0.001)) +
facet_wrap(~volumetry, scales = "free") +
#expand_limits(x = 6) +
#guides(fill = TRUE) +
#guides(color = TRUE) +
#scale_color_manual(values=c("red", "blue")) +
scale_fill_discrete(labels = c("Whites", "African Americans")) +
#scale_color_brewer(palette = "Spectral") +
#scale_fill_brewer(palette = "Spectral") +
#coord_flip() +
theme_light(base_size = 12, base_family = "Arial") +
#ggtitle("Volumetric results")
xlab("") + ylab(~~ mm^'3'/ ICV) + labs(fill = "") + labs(col = "") + theme(legend.position = "top",axis.text.x=element_blank(), strip.text.x = element_text(color = "black", face = "bold")) #+ geom_signif(comparisons = list(c("White", "Black or African Am.")),tip_length=0,y_position = 9, textsize = 4)## Warning: `fun.y` is deprecated. Use `fun` instead.
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Selection of brain cortical thickness and Racial identity variables
data_connectomehcp_filtered_paired_cortical_thickness <- data_connectomehcp_filtered_paired %>% select(c(2,6:73)) %>% dplyr::rename(
L_Bankssts_Thck = FS_L_Bankssts_Thck,
L_Caudalanteriorcingulate_Thck = FS_L_Caudalanteriorcingulate_Thck,
L_Caudalmiddlefrontal_Thck = FS_L_Caudalmiddlefrontal_Thck,
L_Cuneus_Thck = FS_L_Cuneus_Thck,
L_Entorhinal_Thck = FS_L_Entorhinal_Thck,
L_Fusiform_Thck = FS_L_Fusiform_Thck,
L_Inferiorparietal_Thck = FS_L_Inferiorparietal_Thck,
L_Inferiortemporal_Thck = FS_L_Inferiortemporal_Thck,
L_Isthmuscingulate_Thck = FS_L_Isthmuscingulate_Thck,
L_Lateraloccipital_Thck = FS_L_Lateraloccipital_Thck,
L_Lateralorbitofrontal_Thck = FS_L_Lateralorbitofrontal_Thck,
L_Lingual_Thck = FS_L_Lingual_Thck,
L_Medialorbitofrontal_Thck = FS_L_Medialorbitofrontal_Thck,
L_Middletemporal_Thck = FS_L_Middletemporal_Thck,
L_Parahippocampal_Thck = FS_L_Parahippocampal_Thck,
L_Paracentral_Thck = FS_L_Paracentral_Thck,
L_Parsopercularis_Thck = FS_L_Parsopercularis_Thck,
L_Parsorbitalis_Thck = FS_L_Parsorbitalis_Thck,
L_Parstriangularis_Thck = FS_L_Parstriangularis_Thck,
L_Pericalcarine_Thck = FS_L_Pericalcarine_Thck,
L_Postcentral_Thck = FS_L_Postcentral_Thck,
L_Posteriorcingulate_Thck = FS_L_Posteriorcingulate_Thck,
L_Precentral_Thck = FS_L_Precentral_Thck,
L_Precuneus_Thck = FS_L_Precuneus_Thck,
L_Rostralanteriorcingulate_Thck = FS_L_Rostralanteriorcingulate_Thck,
L_Rostralmiddlefrontal_Thck = FS_L_Rostralmiddlefrontal_Thck,
L_Superiorfrontal_Thck = FS_L_Superiorfrontal_Thck,
L_Superiorparietal_Thck = FS_L_Superiorparietal_Thck,
L_Superiortemporal_Thck = FS_L_Superiortemporal_Thck,
L_Supramarginal_Thck = FS_L_Supramarginal_Thck,
L_Frontalpole_Thck = FS_L_Frontalpole_Thck,
L_Temporalpole_Thck = FS_L_Temporalpole_Thck,
L_Transversetemporal_Thck = FS_L_Transversetemporal_Thck,
L_Insula_Thck = FS_L_Insula_Thck,
R_Bankssts_Thck = FS_R_Bankssts_Thck,
R_Caudalanteriorcingulate_Thck = FS_R_Caudalanteriorcingulate_Thck,
R_Caudalmiddlefrontal_Thck = FS_R_Caudalmiddlefrontal_Thck,
R_Cuneus_Thck = FS_R_Cuneus_Thck,
R_Entorhinal_Thck = FS_R_Entorhinal_Thck,
R_Fusiform_Thck = FS_R_Fusiform_Thck,
R_Inferiorparietal_Thck = FS_R_Inferiorparietal_Thck,
R_Inferiortemporal_Thck = FS_R_Inferiortemporal_Thck,
R_Isthmuscingulate_Thck = FS_R_Isthmuscingulate_Thck,
R_Lateraloccipital_Thck = FS_R_Lateraloccipital_Thck,
R_Lateralorbitofrontal_Thck = FS_R_Lateralorbitofrontal_Thck,
R_Lingual_Thck = FS_R_Lingual_Thck,
R_Medialorbitofrontal_Thck = FS_R_Medialorbitofrontal_Thck,
R_Middletemporal_Thck= FS_R_Middletemporal_Thck,
R_Parahippocampal_Thck = FS_R_Parahippocampal_Thck,
R_Paracentral_Thck = FS_R_Paracentral_Thck,
R_Parsopercularis_Thck= FS_R_Parsopercularis_Thck,
R_Parsorbitalis_Thck = FS_R_Parsorbitalis_Thck,
R_Parstriangularis_Thck = FS_R_Parstriangularis_Thck,
R_Pericalcarine_Thck = FS_R_Pericalcarine_Thck,
R_Postcentral_Thck = FS_R_Postcentral_Thck,
R_Posteriorcingulate_Thck = FS_R_Posteriorcingulate_Thck,
R_Precentral_Thck = FS_R_Precentral_Thck,
R_Precuneus_Thck = FS_R_Precuneus_Thck,
R_Rostralanteriorcingulate_Thck = FS_R_Rostralanteriorcingulate_Thck,
R_Rostralmiddlefrontal_Thck = FS_R_Rostralmiddlefrontal_Thck,
R_Superiorfrontal_Thck = FS_R_Superiorfrontal_Thck,
R_Superiorparietal_Thck = FS_R_Superiorparietal_Thck,
R_Superiortemporal_Thck = FS_R_Superiortemporal_Thck,
R_Supramarginal_Thck = FS_R_Supramarginal_Thck,
R_Frontalpole_Thck = FS_R_Frontalpole_Thck,
R_Temporalpole_Thck = FS_R_Temporalpole_Thck,
R_Transversetemporal_Thck = FS_R_Transversetemporal_Thck,
R_Insula_Thck = FS_R_Insula_Thck )## Welch t-test analysis with non-homogeneous of variance assumption
data_connectomehcp_filtered_paired_cortical_thickness_welcht_test <- lapply(data_connectomehcp_filtered_paired_cortical_thickness[c(2:69)], function(x) t.test(x ~ data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity, var.equal = FALSE))
data_connectomehcp_filtered_paired_cortical_thickness_welcht_test## $L_Bankssts_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.4695, df = 102.9, p-value = 0.6397
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.04479382 0.07257953
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.666339 2.652446
##
##
## $L_Caudalanteriorcingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -2.1227, df = 107.6, p-value = 0.03607
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.152877706 -0.005229436
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.663375 2.742429
##
##
## $L_Caudalmiddlefrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.6847, df = 107.64, p-value = 0.09495
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.094567462 0.007674605
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.718964 2.762411
##
##
## $L_Cuneus_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.9112, df = 97.23, p-value = 0.004464
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.02216525 0.11712046
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.109357 2.039714
##
##
## $L_Entorhinal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.6002, df = 104.44, p-value = 0.5497
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06059876 0.11320590
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.296839 3.270536
##
##
## $L_Fusiform_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.34605, df = 91.758, p-value = 0.7301
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.04054000 0.05764714
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.858571 2.850018
##
##
## $L_Inferiorparietal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.3822, df = 101.63, p-value = 0.1699
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01368864 0.07661721
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.583321 2.551857
##
##
## $L_Inferiortemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.70951, df = 94.174, p-value = 0.4798
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06870986 0.03253129
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.911589 2.929679
##
##
## $L_Isthmuscingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.71285, df = 95.141, p-value = 0.4777
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06543607 0.13875750
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.309679 2.273018
##
##
## $L_Lateraloccipital_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.3863, df = 101.1, p-value = 0.01888
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.009433102 0.102388327
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.290089 2.234179
##
##
## $L_Lateralorbitofrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.65916, df = 109.95, p-value = 0.5112
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.03651116 0.07290401
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.806839 2.788643
##
##
## $L_Lingual_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.7442, df = 102.19, p-value = 0.08414
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.005000231 0.077893088
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.161857 2.125411
##
##
## $L_Medialorbitofrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -2.7281, df = 108.68, p-value = 0.00743
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.13096862 -0.02074567
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.542786 2.618643
##
##
## $L_Middletemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.97077, df = 105.47, p-value = 0.3339
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.02542734 0.07421305
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.974000 2.949607
##
##
## $L_Parahippocampal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.98294, df = 102.91, p-value = 0.3279
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.04872245 0.14447245
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.755339 2.707464
##
##
## $L_Paracentral_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.86276, df = 102.43, p-value = 0.3903
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.02961947 0.07522661
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.565268 2.542464
##
##
## $L_Parsopercularis_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.9291, df = 99.275, p-value = 0.05658
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.100775888 0.001418745
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.746357 2.796036
##
##
## $L_Parsorbitalis_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.89638, df = 109.74, p-value = 0.372
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.08830025 0.03330025
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.762482 2.789982
##
##
## $L_Parstriangularis_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.4948, df = 109.78, p-value = 0.1378
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.09236763 0.01293906
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.594143 2.633857
##
##
## $L_Pericalcarine_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.4001, df = 107.08, p-value = 0.1644
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01373973 0.07981116
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.011036 1.978000
##
##
## $L_Postcentral_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.4352, df = 100.79, p-value = 0.01664
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.009204953 0.090116476
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.225946 2.176286
##
##
## $L_Posteriorcingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.032273, df = 107.8, p-value = 0.9743
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.04963066 0.05127352
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.582429 2.581607
##
##
## $L_Precentral_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.80206, df = 96.123, p-value = 0.4245
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06651785 0.02823214
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.720357 2.739500
##
##
## $L_Precuneus_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.75555, df = 105.86, p-value = 0.4516
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.02984248 0.06659248
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.532179 2.513804
##
##
## $L_Rostralanteriorcingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.5878, df = 105.32, p-value = 0.1153
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.14917938 0.01650081
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.014696 3.081036
##
##
## $L_Rostralmiddlefrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.446, df = 106.67, p-value = 0.1511
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.08124878 0.01271307
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.550125 2.584393
##
##
## $L_Superiorfrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.3112, df = 108.31, p-value = 0.1926
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.08790819 0.01790819
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.833875 2.868875
##
##
## $L_Superiorparietal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.56354, df = 105.67, p-value = 0.5743
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.03120815 0.05599386
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.293607 2.281214
##
##
## $L_Superiortemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.0711, df = 99.277, p-value = 0.2867
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.08012443 0.02394585
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.859982 2.888071
##
##
## $L_Supramarginal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.1496, df = 105.57, p-value = 0.2529
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01969507 0.07405222
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.659732 2.632554
##
##
## $L_Frontalpole_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -2.006, df = 107.59, p-value = 0.04736
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.1642002860 -0.0009782855
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.787607 2.870196
##
##
## $L_Temporalpole_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.17749, df = 107.2, p-value = 0.8595
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.09351522 0.11190808
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.419804 3.410607
##
##
## $L_Transversetemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.5762, df = 103.66, p-value = 0.118
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01491582 0.13048725
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.655946 2.598161
##
##
## $L_Insula_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.0629, df = 105.9, p-value = 0.2903
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.02801573 0.09276573
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.052821 3.020446
##
##
## $R_Bankssts_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 3.0817, df = 99.638, p-value = 0.002661
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.0289144 0.1334427
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.825339 2.744161
##
##
## $R_Caudalanteriorcingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.6659, df = 109.8, p-value = 0.5069
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.11892899 0.05910756
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.506000 2.535911
##
##
## $R_Caudalmiddlefrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.9697, df = 105.49, p-value = 0.0515
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.0835610700 0.0002753557
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.735500 2.777143
##
##
## $R_Cuneus_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 3.1173, df = 108.87, p-value = 0.002335
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.02344523 0.10530477
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.106071 2.041696
##
##
## $R_Entorhinal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 3.4755, df = 109.99, p-value = 0.0007308
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.06443018 0.23539125
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.463196 3.313286
##
##
## $R_Fusiform_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.6638, df = 109.93, p-value = 0.099
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.006890567 0.078997710
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.896089 2.860036
##
##
## $R_Inferiorparietal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.4345, df = 109.92, p-value = 0.01652
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.008388545 0.081825741
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.663250 2.618143
##
##
## $R_Inferiortemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.3862, df = 109.69, p-value = 0.1685
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01257589 0.07111161
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.983125 2.953857
##
##
## $R_Isthmuscingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.2201, df = 109.75, p-value = 0.8262
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.05860337 0.07324623
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.311018 2.303696
##
##
## $R_Lateraloccipital_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 3.7175, df = 109.63, p-value = 0.0003187
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.03515018 0.11542124
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.348214 2.272929
##
##
## $R_Lateralorbitofrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.53326, df = 108.16, p-value = 0.5949
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.03648581 0.06334295
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.821321 2.807893
##
##
## $R_Lingual_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 3.3228, df = 109.13, p-value = 0.001214
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.0260995 0.1032576
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.197161 2.132482
##
##
## $R_Medialorbitofrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.2172, df = 108.4, p-value = 0.2262
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.08654759 0.02069045
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.741536 2.774464
##
##
## $R_Middletemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.8079, df = 109.41, p-value = 0.005907
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.01673597 0.09704975
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.069571 3.012679
##
##
## $R_Parahippocampal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.7334, df = 91.413, p-value = 0.0864
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01014648 0.14925362
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.725357 2.655804
##
##
## $R_Paracentral_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 0.44348, df = 106.37, p-value = 0.6583
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.03823635 0.06027206
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.598768 2.587750
##
##
## $R_Parsopercularis_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.0088, df = 103.18, p-value = 0.3154
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06625771 0.02157914
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.831339 2.853679
##
##
## $R_Parsorbitalis_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.24711, df = 109.96, p-value = 0.8053
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.05911143 0.04600429
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.836357 2.842911
##
##
## $R_Parstriangularis_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.77805, df = 95.902, p-value = 0.4385
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06132280 0.02678709
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.685268 2.702536
##
##
## $R_Pericalcarine_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.916, df = 102.81, p-value = 0.05814
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.001423438 0.082459152
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.022107 1.981589
##
##
## $R_Postcentral_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.7821, df = 109.33, p-value = 0.006363
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.01589652 0.09463919
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.259554 2.204286
##
##
## $R_Posteriorcingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.4298, df = 109.8, p-value = 0.1556
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01605672 0.09923529
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.552732 2.511143
##
##
## $R_Precentral_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.69483, df = 110, p-value = 0.4886
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.05675031 0.02728603
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.724589 2.739321
##
##
## $R_Precuneus_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.6755, df = 109.7, p-value = 0.09668
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.006489788 0.077489788
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.578036 2.542536
##
##
## $R_Rostralanteriorcingulate_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -2.3326, df = 109.15, p-value = 0.0215
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.14836981 -0.01205876
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.976018 3.056232
##
##
## $R_Rostralmiddlefrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.0858, df = 100.71, p-value = 0.2802
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.06719299 0.01965728
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.576107 2.599875
##
##
## $R_Superiorfrontal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.0929, df = 105.53, p-value = 0.2769
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.07733757 0.02237328
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.869304 2.896786
##
##
## $R_Superiorparietal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.1654, df = 109.97, p-value = 0.2464
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.01578616 0.06085759
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.338679 2.316143
##
##
## $R_Superiortemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -0.33461, df = 109.91, p-value = 0.7386
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.05340375 0.03797518
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.933875 2.941589
##
##
## $R_Supramarginal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.8164, df = 108.2, p-value = 0.005773
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.01718108 0.09881892
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.725857 2.667857
##
##
## $R_Frontalpole_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = -1.8771, df = 109.63, p-value = 0.06317
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.158481386 0.004302814
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.823946 2.901036
##
##
## $R_Temporalpole_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 1.1671, df = 109.11, p-value = 0.2457
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.04250584 0.16425584
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.648464 3.587589
##
##
## $R_Transversetemporal_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 3.5566, df = 109.97, p-value = 0.0005556
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.04857209 0.17082076
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2.763107 2.653411
##
##
## $R_Insula_Thck
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity
## t = 2.447, df = 106.73, p-value = 0.01604
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.01171596 0.11171261
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3.030536 2.968821
# p-values Welch t-test analysis with non-homogeneous of variance assumption
pvalues_data_connectomehcp_filtered_paired_cortical_thickness_welcht_test <- sapply(data_connectomehcp_filtered_paired_cortical_thickness[c(2:69)], function(x) t.test(x ~ data_connectomehcp_filtered_paired_cortical_thickness$Racial_identity, var.equal = FALSE)$p.value)
pvalues_data_connectomehcp_filtered_paired_cortical_thickness_welcht_test<- as.data.frame(pvalues_data_connectomehcp_filtered_paired_cortical_thickness_welcht_test) %>% dplyr::rename(pvalue=pvalues_data_connectomehcp_filtered_paired_cortical_thickness_welcht_test) %>% dplyr::select(1)
## Execution of Holm-Bonferroni multiple comparison analysis
pvalues_data_connectomehcp_filtered_paired_cortical_thickness_welcht_test$Holm =p.adjust(pvalues_data_connectomehcp_filtered_paired_cortical_thickness_welcht_test$pvalue,method ="holm") | p-values | Holm | |
|---|---|---|
| L_Bankssts_Thck | 0.6397041 | 1.0000000 |
| L_Caudalanteriorcingulate_Thck | 0.0360749 | 1.0000000 |
| L_Caudalmiddlefrontal_Thck | 0.0949514 | 1.0000000 |
| L_Cuneus_Thck | 0.0044643 | 0.2767895 |
| L_Entorhinal_Thck | 0.5496760 | 1.0000000 |
| L_Fusiform_Thck | 0.7300989 | 1.0000000 |
| L_Inferiorparietal_Thck | 0.1699297 | 1.0000000 |
| L_Inferiortemporal_Thck | 0.4797607 | 1.0000000 |
| L_Isthmuscingulate_Thck | 0.4776855 | 1.0000000 |
| L_Lateraloccipital_Thck | 0.0188786 | 1.0000000 |
| L_Lateralorbitofrontal_Thck | 0.5111692 | 1.0000000 |
| L_Lingual_Thck | 0.0841377 | 1.0000000 |
| L_Medialorbitofrontal_Thck | 0.0074296 | 0.4309150 |
| L_Middletemporal_Thck | 0.3338834 | 1.0000000 |
| L_Parahippocampal_Thck | 0.3279409 | 1.0000000 |
| L_Paracentral_Thck | 0.3902851 | 1.0000000 |
| L_Parsopercularis_Thck | 0.0565794 | 1.0000000 |
| L_Parsorbitalis_Thck | 0.3720132 | 1.0000000 |
| L_Parstriangularis_Thck | 0.1378360 | 1.0000000 |
| L_Pericalcarine_Thck | 0.1643831 | 1.0000000 |
| L_Postcentral_Thck | 0.0166423 | 0.9251660 |
| L_Posteriorcingulate_Thck | 0.9743139 | 1.0000000 |
| L_Precentral_Thck | 0.4244960 | 1.0000000 |
| L_Precuneus_Thck | 0.4515960 | 1.0000000 |
| L_Rostralanteriorcingulate_Thck | 0.1153282 | 1.0000000 |
| L_Rostralmiddlefrontal_Thck | 0.1511089 | 1.0000000 |
| L_Superiorfrontal_Thck | 0.1925593 | 1.0000000 |
| L_Superiorparietal_Thck | 0.5742610 | 1.0000000 |
| L_Superiortemporal_Thck | 0.2867346 | 1.0000000 |
| L_Supramarginal_Thck | 0.2528999 | 1.0000000 |
| L_Frontalpole_Thck | 0.0473635 | 1.0000000 |
| L_Temporalpole_Thck | 0.8594572 | 1.0000000 |
| L_Transversetemporal_Thck | 0.1180157 | 1.0000000 |
| L_Insula_Thck | 0.2902600 | 1.0000000 |
| R_Bankssts_Thck | 0.0026615 | 0.1676719 |
| R_Caudalanteriorcingulate_Thck | 0.5068721 | 1.0000000 |
| R_Caudalmiddlefrontal_Thck | 0.0514964 | 1.0000000 |
| R_Cuneus_Thck | 0.0023347 | 0.1494234 |
| R_Entorhinal_Thck | 0.0007308 | 0.0482324 |
| R_Fusiform_Thck | 0.0990018 | 1.0000000 |
| R_Inferiorparietal_Thck | 0.0165208 | 0.9251660 |
| R_Inferiortemporal_Thck | 0.1684968 | 1.0000000 |
| R_Isthmuscingulate_Thck | 0.8262060 | 1.0000000 |
| R_Lateraloccipital_Thck | 0.0003187 | 0.0216723 |
| R_Lateralorbitofrontal_Thck | 0.5949479 | 1.0000000 |
| R_Lingual_Thck | 0.0012136 | 0.0788813 |
| R_Medialorbitofrontal_Thck | 0.2261548 | 1.0000000 |
| R_Middletemporal_Thck | 0.0059069 | 0.3544162 |
| R_Parahippocampal_Thck | 0.0863983 | 1.0000000 |
| R_Paracentral_Thck | 0.6583216 | 1.0000000 |
| R_Parsopercularis_Thck | 0.3154426 | 1.0000000 |
| R_Parsorbitalis_Thck | 0.8052821 | 1.0000000 |
| R_Parstriangularis_Thck | 0.4384559 | 1.0000000 |
| R_Pericalcarine_Thck | 0.0581432 | 1.0000000 |
| R_Postcentral_Thck | 0.0063630 | 0.3754190 |
| R_Posteriorcingulate_Thck | 0.1556156 | 1.0000000 |
| R_Precentral_Thck | 0.4886245 | 1.0000000 |
| R_Precuneus_Thck | 0.0966801 | 1.0000000 |
| R_Rostralanteriorcingulate_Thck | 0.0215026 | 1.0000000 |
| R_Rostralmiddlefrontal_Thck | 0.2801629 | 1.0000000 |
| R_Superiorfrontal_Thck | 0.2769103 | 1.0000000 |
| R_Superiorparietal_Thck | 0.2463754 | 1.0000000 |
| R_Superiortemporal_Thck | 0.7385589 | 1.0000000 |
| R_Supramarginal_Thck | 0.0057728 | 0.3521378 |
| R_Frontalpole_Thck | 0.0631670 | 1.0000000 |
| R_Temporalpole_Thck | 0.2457333 | 1.0000000 |
| R_Transversetemporal_Thck | 0.0005556 | 0.0372220 |
| R_Insula_Thck | 0.0160382 | 0.9141779 |
## pvalue Holm
## R_Entorhinal_Thck 0.0007307941 0.04823241
## R_Lateraloccipital_Thck 0.0003187109 0.02167234
## R_Transversetemporal_Thck 0.0005555522 0.03722200
data_connectomehcp_filtered_paired_cortical_thickness %>%
dplyr::rename(
"Left Banks STS" = L_Bankssts_Thck,
"Left Caudal Anterior Cingulate" = L_Caudalanteriorcingulate_Thck,
"Left Caudal Middle Frontal" = L_Caudalmiddlefrontal_Thck,
"Left Cuneus" = L_Cuneus_Thck,
"Left Entorhinal" = L_Entorhinal_Thck,
"Left Fusiform" = L_Fusiform_Thck,
"Left Inferior Parietal" = L_Inferiorparietal_Thck,
"Left Inferior Temporal" = L_Inferiortemporal_Thck,
"Left Isthmuscingulate" = L_Isthmuscingulate_Thck,
"Left Lateral Occipital" = L_Lateraloccipital_Thck,
"Left Lateral Orbitofrontal" = L_Lateralorbitofrontal_Thck,
"Left Lingual" = L_Lingual_Thck,
"Left Medialorbitofrontal" = L_Medialorbitofrontal_Thck,
"Left Middletemporal" = L_Middletemporal_Thck,
"Left Parahippocampal" = L_Parahippocampal_Thck,
"Left Paracentral" = L_Paracentral_Thck,
"Left Parsopercularis" = L_Parsopercularis_Thck,
"Left Parsorbitalis" = L_Parsorbitalis_Thck,
"Left Parstriangularis" = L_Parstriangularis_Thck,
"Left Pericalcarine" = L_Pericalcarine_Thck,
"Left Postcentral" = L_Postcentral_Thck,
"Left Posterior Cingulate" = L_Posteriorcingulate_Thck,
"Left Precentral" = L_Precentral_Thck,
"Left Precuneus" = L_Precuneus_Thck,
"Left Rostral anterior cingulate" = L_Rostralanteriorcingulate_Thck,
"Left Rostral middle frontal" = L_Rostralmiddlefrontal_Thck,
"Left Superior Frontal" = L_Superiorfrontal_Thck,
"Left Superior Parietal" = L_Superiorparietal_Thck,
"Left Superior Temporal" = L_Superiortemporal_Thck,
"Left Supramarginal" = L_Supramarginal_Thck,
"Left Frontal Pole" = L_Frontalpole_Thck,
"Left Temporal Pole" = L_Temporalpole_Thck,
"Left Transverse Temporal" = L_Transversetemporal_Thck,
"Left Insula" = L_Insula_Thck,
"Right Banks STS" = R_Bankssts_Thck,
"Right Caudal Anterior Cingulate"= R_Caudalanteriorcingulate_Thck,
"Right Caudal Middle Frontal" = R_Caudalmiddlefrontal_Thck,
"Right Cuneus" = R_Cuneus_Thck,
"Right Entorhinal" = R_Entorhinal_Thck,
"Right Fusiform" = R_Fusiform_Thck,
"Right Inferior Parietal" =R_Inferiorparietal_Thck,
"Right Inferior Temporal" = R_Inferiortemporal_Thck,
"Right Isthmuscingulate" = R_Isthmuscingulate_Thck,
"Right Lateral Occipital" = R_Lateraloccipital_Thck,
"Right Lateral Orbitofrontal" = R_Lateralorbitofrontal_Thck,
"Right Lingual" = R_Lingual_Thck,
"Right Medial Orbitofrontal" = R_Medialorbitofrontal_Thck,
"Right Middle Temporal"= R_Middletemporal_Thck,
"Right _Parahippocampal" = R_Parahippocampal_Thck,
"Right Paracentral" = R_Paracentral_Thck,
"Right Parsopercularis"= R_Parsopercularis_Thck,
"Right Parsorbitalis" = R_Parsorbitalis_Thck,
"Right Parstriangularis" = R_Parstriangularis_Thck,
"Right Pericalcarine" = R_Pericalcarine_Thck,
"Right Postcentral" = R_Postcentral_Thck,
"Right Posterior Cingulate" = R_Posteriorcingulate_Thck,
"Right Precentral" = R_Precentral_Thck,
"Right Precuneus" = R_Precuneus_Thck,
"Right Rostral Anterior Cingulate" = R_Rostralanteriorcingulate_Thck,
"Right Rostral Middle Frontal" = R_Rostralmiddlefrontal_Thck,
"Right Superior Frontal" = R_Superiorfrontal_Thck,
"Right Superior Parietal" = R_Superiorparietal_Thck,
"Right Superior Temporal" = R_Superiortemporal_Thck,
"Right Supramarginal" = R_Supramarginal_Thck,
"Right Frontal Pole" = R_Frontalpole_Thck,
"Right Temporal Pole" = R_Temporalpole_Thck,
"Right Transverse Temporal" = R_Transversetemporal_Thck,
"Right Insula" = R_Insula_Thck ) %>% tbl_summary(by = Racial_identity, statistic = list(all_continuous() ~ "{mean} ({sd})"), digits = all_continuous() ~ function(x) format(x, format = "e", digits = 4)) %>% add_difference() %>% add_q(method = "holm", pvalue_fun = function(x) style_pvalue(x, digits = 3)) %>% as_gt()## add_q: Adjusting p-values with
## `stats::p.adjust(x$table_body$p.value, method = "holm")`
| Characteristic | White, N = 561 | Black or African Am., N = 561 | Difference2 | 95% CI2,3 | p-value2 | q-value4 |
|---|---|---|---|---|---|---|
| Left Banks STS | 2.666 (0.1759) | 2.652 (0.1345) | 0.01 | -0.04, 0.07 | 0.6 | >0.999 |
| Left Caudal Anterior Cingulate | 2.663 (0.2113) | 2.742 (0.1818) | -0.08 | -0.15, -0.01 | 0.036 | >0.999 |
| Left Caudal Middle Frontal | 2.719 (0.1462) | 2.762 (0.1260) | -0.04 | -0.09, 0.01 | 0.095 | >0.999 |
| Left Cuneus | 2.109 (0.1478) | 2.040 (0.1011) | 0.07 | 0.02, 0.12 | 0.004 | 0.277 |
| Left Entorhinal | 3.297 (0.2573) | 3.271 (0.2034) | 0.03 | -0.06, 0.11 | 0.5 | >0.999 |
| Left Fusiform | 2.859 (0.15727) | 2.850 (0.09736) | 0.01 | -0.04, 0.06 | 0.7 | >0.999 |
| Left Inferior Parietal | 2.583 (0.1366) | 2.552 (0.1017) | 0.03 | -0.01, 0.08 | 0.2 | >0.999 |
| Left Inferior Temporal | 2.912 (0.1602) | 2.930 (0.1036) | -0.02 | -0.07, 0.03 | 0.5 | >0.999 |
| Left Isthmuscingulate | 2.310 (0.3214) | 2.273 (0.2116) | 0.04 | -0.07, 0.14 | 0.5 | >0.999 |
| Left Lateral Occipital | 2.290 (0.1412) | 2.234 (0.1040) | 0.06 | 0.01, 0.10 | 0.019 | >0.999 |
| Left Lateral Orbitofrontal | 2.807 (0.1446) | 2.789 (0.1476) | 0.02 | -0.04, 0.07 | 0.5 | >0.999 |
| Left Lingual | 2.162 (0.12492) | 2.125 (0.09406) | 0.04 | -0.01, 0.08 | 0.084 | >0.999 |
| Left Medialorbitofrontal | 2.543 (0.1550) | 2.619 (0.1388) | -0.08 | -0.13, -0.02 | 0.007 | 0.431 |
| Left Middletemporal | 2.974 (0.1461) | 2.950 (0.1184) | 0.02 | -0.03, 0.07 | 0.3 | >0.999 |
| Left Parahippocampal | 2.755 (0.2896) | 2.707 (0.2213) | 0.05 | -0.05, 0.14 | 0.3 | >0.999 |
| Left Paracentral | 2.565 (0.1577) | 2.542 (0.1193) | 0.02 | -0.03, 0.08 | 0.4 | >0.999 |
| Left Parsopercularis | 2.746 (0.1571) | 2.796 (0.1117) | -0.05 | -0.10, 0.00 | 0.057 | >0.999 |
| Left Parsorbitalis | 2.762 (0.1583) | 2.790 (0.1663) | -0.03 | -0.09, 0.03 | 0.4 | >0.999 |
| Left Parstriangularis | 2.594 (0.1374) | 2.634 (0.1437) | -0.04 | -0.09, 0.01 | 0.14 | >0.999 |
| Left Pericalcarine | 2.011 (0.1348) | 1.978 (0.1141) | 0.03 | -0.01, 0.08 | 0.2 | >0.999 |
| Left Postcentral | 2.226 (0.12314) | 2.176 (0.09014) | 0.05 | 0.01, 0.09 | 0.017 | 0.925 |
| Left Posterior Cingulate | 2.582 (0.1440) | 2.582 (0.1247) | 0.00 | -0.05, 0.05 | >0.9 | >0.999 |
| Left Precentral | 2.72 (0.14836) | 2.74 (0.09945) | -0.02 | -0.07, 0.03 | 0.4 | >0.999 |
| Left Precuneus | 2.532 (0.1408) | 2.514 (0.1153) | 0.02 | -0.03, 0.07 | 0.5 | >0.999 |
| Left Rostral anterior cingulate | 3.015 (0.2433) | 3.081 (0.1964) | -0.07 | -0.15, 0.02 | 0.12 | >0.999 |
| Left Rostral middle frontal | 2.550 (0.1138) | 2.584 (0.1360) | -0.03 | -0.08, 0.01 | 0.2 | >0.999 |
| Left Superior Frontal | 2.834 (0.1498) | 2.869 (0.1321) | -0.04 | -0.09, 0.02 | 0.2 | >0.999 |
| Left Superior Parietal | 2.294 (0.1276) | 2.281 (0.1039) | 0.01 | -0.03, 0.06 | 0.6 | >0.999 |
| Left Superior Temporal | 2.860 (0.1600) | 2.888 (0.1137) | -0.03 | -0.08, 0.02 | 0.3 | >0.999 |
| Left Supramarginal | 2.660 (0.1373) | 2.633 (0.1116) | 0.03 | -0.02, 0.07 | 0.3 | >0.999 |
| Left Frontal Pole | 2.788 (0.2336) | 2.870 (0.2009) | -0.08 | -0.16, 0.00 | 0.047 | >0.999 |
| Left Temporal Pole | 3.420 (0.2955) | 3.411 (0.2510) | 0.01 | -0.09, 0.11 | 0.9 | >0.999 |
| Left Transverse Temporal | 2.656 (0.2167) | 2.598 (0.1683) | 0.06 | -0.01, 0.13 | 0.12 | >0.999 |
| Left Insula | 3.053 (0.1763) | 3.020 (0.1444) | 0.03 | -0.03, 0.09 | 0.3 | >0.999 |
| Right Banks STS | 2.825 (0.1147) | 2.744 (0.1603) | 0.08 | 0.03, 0.13 | 0.003 | 0.168 |
| Right Caudal Anterior Cingulate | 2.506 (0.2427) | 2.536 (0.2326) | -0.03 | -0.12, 0.06 | 0.5 | >0.999 |
| Right Caudal Middle Frontal | 2.736 (0.09964) | 2.777 (0.12289) | -0.04 | -0.08, 0.00 | 0.051 | >0.999 |
| Right Cuneus | 2.106 (0.1036) | 2.042 (0.1147) | 0.06 | 0.02, 0.11 | 0.002 | 0.149 |
| Right Entorhinal | 3.463 (0.2274) | 3.313 (0.2290) | 0.15 | 0.06, 0.24 | <0.001 | 0.048 |
| Right Fusiform | 2.896 (0.1133) | 2.860 (0.1161) | 0.04 | -0.01, 0.08 | 0.10 | >0.999 |
| Right Inferior Parietal | 2.663 (0.09938) | 2.618 (0.09668) | 0.05 | 0.01, 0.08 | 0.017 | 0.925 |
| Right Inferior Temporal | 2.983 (0.1087) | 2.954 (0.1147) | 0.03 | -0.01, 0.07 | 0.2 | >0.999 |
| Right Isthmuscingulate | 2.311 (0.1718) | 2.304 (0.1802) | 0.01 | -0.06, 0.07 | 0.8 | >0.999 |
| Right Lateral Occipital | 2.348 (0.1040) | 2.273 (0.1102) | 0.08 | 0.04, 0.12 | <0.001 | 0.022 |
| Right Lateral Orbitofrontal | 2.821 (0.1242) | 2.808 (0.1417) | 0.01 | -0.04, 0.06 | 0.6 | >0.999 |
| Right Lingual | 2.197 (0.09829) | 2.132 (0.10750) | 0.06 | 0.03, 0.10 | 0.001 | 0.079 |
| Right Medial Orbitofrontal | 2.742 (0.1342) | 2.774 (0.1516) | -0.03 | -0.09, 0.02 | 0.2 | >0.999 |
| Right Middle Temporal | 3.070 (0.1032) | 3.013 (0.1111) | 0.06 | 0.02, 0.10 | 0.006 | 0.354 |
| Right _Parahippocampal | 2.725 (0.2558) | 2.656 (0.1573) | 0.07 | -0.01, 0.15 | 0.086 | >0.999 |
| Right Paracentral | 2.599 (0.1431) | 2.588 (0.1187) | 0.01 | -0.04, 0.06 | 0.7 | >0.999 |
| Right Parsopercularis | 2.831 (0.1010) | 2.854 (0.1314) | -0.02 | -0.07, 0.02 | 0.3 | >0.999 |
| Right Parsorbitalis | 2.836 (0.1417) | 2.843 (0.1390) | -0.01 | -0.06, 0.05 | 0.8 | >0.999 |
| Right Parstriangularis | 2.685 (0.09222) | 2.703 (0.13813) | -0.02 | -0.06, 0.03 | 0.4 | >0.999 |
| Right Pericalcarine | 2.022 (0.09597) | 1.982 (0.12583) | 0.04 | 0.00, 0.08 | 0.058 | >0.999 |
| Right Postcentral | 2.260 (0.1091) | 2.204 (0.1009) | 0.06 | 0.02, 0.09 | 0.006 | 0.375 |
| Right Posterior Cingulate | 2.553 (0.1572) | 2.511 (0.1506) | 0.04 | -0.02, 0.10 | 0.2 | >0.999 |
| Right Precentral | 2.725 (0.1123) | 2.739 (0.1121) | -0.01 | -0.06, 0.03 | 0.5 | >0.999 |
| Right Precuneus | 2.578 (0.1091) | 2.543 (0.1150) | 0.04 | -0.01, 0.08 | 0.10 | >0.999 |
| Right Rostral Anterior Cingulate | 2.976 (0.1898) | 3.056 (0.1737) | -0.08 | -0.15, -0.01 | 0.022 | >0.999 |
| Right Rostral Middle Frontal | 2.576 (0.09665) | 2.600 (0.13226) | -0.02 | -0.07, 0.02 | 0.3 | >0.999 |
| Right Superior Frontal | 2.869 (0.1186) | 2.897 (0.1461) | -0.03 | -0.08, 0.02 | 0.3 | >0.999 |
| Right Superior Parietal | 2.339 (0.1031) | 2.316 (0.1015) | 0.02 | -0.02, 0.06 | 0.2 | >0.999 |
| Right Superior Temporal | 2.934 (0.1203) | 2.942 (0.1237) | -0.01 | -0.05, 0.04 | 0.7 | >0.999 |
| Right Supramarginal | 2.726 (0.1158) | 2.668 (0.1017) | 0.06 | 0.02, 0.10 | 0.006 | 0.352 |
| Right Frontal Pole | 2.824 (0.2109) | 2.901 (0.2236) | -0.08 | -0.16, 0.00 | 0.063 | >0.999 |
| Right Temporal Pole | 3.648 (0.2882) | 3.588 (0.2633) | 0.06 | -0.04, 0.16 | 0.2 | >0.999 |
| Right Transverse Temporal | 2.763 (0.1619) | 2.653 (0.1645) | 0.11 | 0.05, 0.17 | <0.001 | 0.037 |
| Right Insula | 3.031 (0.1212) | 2.969 (0.1447) | 0.06 | 0.01, 0.11 | 0.016 | 0.914 |
|
1
Mean (SD)
2
Welch Two Sample t-test
3
CI = Confidence Interval
4
Holm correction for multiple testing
|
||||||
data_paired_cortical_thickness_plotted <- data_connectomehcp_filtered_paired_cortical_thickness %>% na.omit() %>% dplyr::select(c(1,40,68,45)) %>% dplyr::rename(
"Right Entorhinal*"= R_Entorhinal_Thck,
"Right Transverse Temporal*"= R_Transversetemporal_Thck,
"Right Lateral Occipital*"= R_Lateraloccipital_Thck,
) %>% gather(key = "thickness", value = "milimeters", -Racial_identity)
plot_cortical_thickness_paired_permutation_facet <- ggplot(data = data_paired_cortical_thickness_plotted, aes(y = milimeters , x = thickness, fill = Racial_identity)) +
geom_half_violin((aes(fill = factor(Racial_identity))),position = position_nudge(x = .6, y = 0), alpha = .8) +
geom_boxplot(aes(y = milimeters , x = thickness,fill=Racial_identity), position = position_dodge(.5), notch = TRUE,outlier.shape = NA, width= 0.3, alpha =0.4, show.legend = FALSE) + stat_summary(aes(y = milimeters , x = thickness,fill=Racial_identity),fun.y="mean",position = position_dodge(.5), show.legend = FALSE) + geom_point((aes(colour = factor(Racial_identity))), position = position_jitterdodge(dodge.width = 0.55), size = .5, alpha = .8, show.legend = FALSE) +
#coord_cartesian(ylim=c(0,0.001)) +
facet_wrap(~thickness, scales = "free") +
#expand_limits(x = 6) +
#guides(fill = TRUE) +
#guides(color = TRUE) +
#scale_color_manual(values=c("red", "blue")) +
scale_fill_discrete(labels = c("Whites", "African Americans")) +
#scale_color_brewer(palette = "Spectral") +
#scale_fill_brewer(palette = "Spectral") +
#coord_flip() +
theme_light(base_size = 12, base_family = "Arial") +
#ggtitle("Cortical Thickness Results") +
xlab("") + ylab("Thickness (mm)") + labs(fill = "") + labs(col = "") + theme(legend.position = "top",axis.text.x=element_blank(), strip.text.x = element_text(color = "black", face = "bold")) #+ geom_signif(comparisons = list(c("White", "Black or African Am.")),tip_length=0,y_position = 9, textsize = 4)## Warning: `fun.y` is deprecated. Use `fun` instead.
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Warning: Removed 2 rows containing missing values (geom_segment).
## Selection of brain cortical thickness and Racial identity variables
data_connectomehcp_filtered_paired_cortical_surface <- data_connectomehcp_filtered_paired %>% select(c(2,74:141)) %>% dplyr::rename(
L_Bankssts_Area = FS_L_Bankssts_Area,
L_Caudalanteriorcingulate_Area = FS_L_Caudalanteriorcingulate_Area,
L_Caudalmiddlefrontal_Area = FS_L_Caudalmiddlefrontal_Area,
L_Cuneus_Area = FS_L_Cuneus_Area,
L_Entorhinal_Area = FS_L_Entorhinal_Area,
L_Fusiform_Area = FS_L_Fusiform_Area,
L_Inferiorparietal_Area = FS_L_Inferiorparietal_Area,
L_Inferiortemporal_Area = FS_L_Inferiortemporal_Area,
L_Isthmuscingulate_Area = FS_L_Isthmuscingulate_Area,
L_Lateraloccipital_Area = FS_L_Lateraloccipital_Area,
L_Lateralorbitofrontal_Area = FS_L_Lateralorbitofrontal_Area,
L_Lingual_Area = FS_L_Lingual_Area,
L_Medialorbitofrontal_Area = FS_L_Medialorbitofrontal_Area,
L_Middletemporal_Area = FS_L_Middletemporal_Area,
L_Parahippocampal_Area = FS_L_Parahippocampal_Area,
L_Paracentral_Area = FS_L_Paracentral_Area,
L_Parsopercularis_Area = FS_L_Parsopercularis_Area,
L_Parsorbitalis_Area = FS_L_Parsorbitalis_Area,
L_Parstriangularis_Area = FS_L_Parstriangularis_Area,
L_Pericalcarine_Area = FS_L_Pericalcarine_Area,
L_Postcentral_Area = FS_L_Postcentral_Area,
L_Posteriorcingulate_Area = FS_L_Posteriorcingulate_Area,
L_Precentral_Area = FS_L_Precentral_Area,
L_Precuneus_Area = FS_L_Precuneus_Area,
L_Rostralanteriorcingulate_Area = FS_L_Rostralanteriorcingulate_Area,
L_Rostralmiddlefrontal_Area = FS_L_Rostralmiddlefrontal_Area,
L_Superiorfrontal_Area = FS_L_Superiorfrontal_Area,
L_Superiorparietal_Area = FS_L_Superiorparietal_Area,
L_Superiortemporal_Area = FS_L_Superiortemporal_Area,
L_Supramarginal_Area = FS_L_Supramarginal_Area,
L_Frontalpole_Area = FS_L_Frontalpole_Area,
L_Temporalpole_Area = FS_L_Temporalpole_Area,
L_Transversetemporal_Area = FS_L_Transversetemporal_Area,
L_Insula_Area = FS_L_Insula_Area,
R_Bankssts_Area = FS_R_Bankssts_Area,
R_Caudalanteriorcingulate_Area = FS_R_Caudalanteriorcingulate_Area,
R_Caudalmiddlefrontal_Area = FS_R_Caudalmiddlefrontal_Area,
R_Cuneus_Area = FS_R_Cuneus_Area,
R_Entorhinal_Area = FS_R_Entorhinal_Area,
R_Fusiform_Area= FS_R_Fusiform_Area,
R_Inferiorparietal_Area = FS_R_Inferiorparietal_Area,
R_Inferiortemporal_Area = FS_R_Inferiortemporal_Area,
R_Isthmuscingulate_Area = FS_R_Isthmuscingulate_Area,
R_Lateraloccipital_Area = FS_R_Lateraloccipital_Area,
R_Lateralorbitofrontal_Area = FS_R_Lateralorbitofrontal_Area,
R_Lingual_Area = FS_R_Lingual_Area,
R_Medialorbitofrontal_Area = FS_R_Medialorbitofrontal_Area,
R_Middletemporal_Area = FS_R_Middletemporal_Area,
R_Parahippocampal_Area = FS_R_Parahippocampal_Area,
R_Paracentral_Area = FS_R_Paracentral_Area,
R_Parsopercularis_Area = FS_R_Parsopercularis_Area,
R_Parsorbitalis_Area = FS_R_Parsorbitalis_Area,
R_Parstriangularis_Area = FS_R_Parstriangularis_Area,
R_Pericalcarine_Area = FS_R_Pericalcarine_Area,
R_Postcentral_Area = FS_R_Postcentral_Area,
R_Posteriorcingulate_Area = FS_R_Posteriorcingulate_Area,
R_Precuneus_Area = FS_R_Precuneus_Area,
R_Precentral_Area = FS_R_Precentral_Area,
R_Rostralanteriorcingulate_Area = FS_R_Rostralanteriorcingulate_Area,
R_Rostralmiddlefrontal_Area = FS_R_Rostralmiddlefrontal_Area,
R_Superiorfrontal_Area = FS_R_Superiorfrontal_Area,
R_Superiorparietal_Area = FS_R_Superiorparietal_Area,
R_Superiortemporal_Area = FS_R_Superiortemporal_Area,
R_Supramarginal_Area = FS_R_Supramarginal_Area,
R_Frontalpole_Area = FS_R_Frontalpole_Area,
R_Temporalpole_Area = FS_R_Temporalpole_Area,
R_Transversetemporal_Area = FS_R_Transversetemporal_Area,
R_Insula_Area = FS_R_Insula_Area)## Welch t-test analysis with non-homogeneous of variance assumption
data_connectomehcp_filtered_paired_cortical_surface_welcht_test <- lapply(data_connectomehcp_filtered_paired_cortical_surface[c(2:69)], function(x) t.test(x ~ data_connectomehcp_filtered_paired_cortical_surface$Racial_identity, var.equal = FALSE))
data_connectomehcp_filtered_paired_cortical_surface_welcht_test## $L_Bankssts_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.26949, df = 109.53, p-value = 0.7881
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -79.96000 60.81715
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1044.375 1053.946
##
##
## $L_Caudalanteriorcingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -1.5015, df = 108.02, p-value = 0.1362
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -105.77394 14.59537
## sample estimates:
## mean in group White mean in group Black or African Am.
## 645.6250 691.2143
##
##
## $L_Caudalmiddlefrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.183, df = 109.51, p-value = 0.2394
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -60.21554 238.57268
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2316.518 2227.339
##
##
## $L_Cuneus_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.9614, df = 103.26, p-value = 0.05253
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -1.022931 184.808645
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1471.589 1379.696
##
##
## $L_Entorhinal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.6684, df = 109.08, p-value = 0.09811
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -4.970434 57.863291
## sample estimates:
## mean in group White mean in group Black or African Am.
## 418.4821 392.0357
##
##
## $L_Fusiform_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.47084, df = 109.7, p-value = 0.6387
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -137.5908 223.3408
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3284.018 3241.143
##
##
## $L_Inferiorparietal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.18936, df = 109.89, p-value = 0.8502
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -240.0302 290.7445
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4581.089 4555.732
##
##
## $L_Inferiortemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.865, df = 109.69, p-value = 0.004998
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 78.90068 432.99218
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3407.875 3151.929
##
##
## $L_Isthmuscingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.095879, df = 105.06, p-value = 0.9238
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -128.2730 141.3087
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1046.107 1039.589
##
##
## $L_Lateraloccipital_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.2107, df = 109.95, p-value = 0.02913
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 26.50684 485.42173
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4688.732 4432.768
##
##
## $L_Lateralorbitofrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.5086, df = 106.99, p-value = 0.1343
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -28.33834 208.80262
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2601.786 2511.554
##
##
## $L_Lingual_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.9126, df = 110, p-value = 0.004341
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 69.70558 366.50871
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3081.143 2863.036
##
##
## $L_Medialorbitofrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.71686, df = 108.72, p-value = 0.475
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -74.84877 159.67020
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1970.036 1927.625
##
##
## $L_Middletemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.4572, df = 110, p-value = 0.1479
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -43.65366 286.18937
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3081.321 2960.054
##
##
## $L_Parahippocampal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.54888, df = 109.47, p-value = 0.5842
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -58.04605 32.86747
## sample estimates:
## mean in group White mean in group Black or African Am.
## 706.3750 718.9643
##
##
## $L_Paracentral_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.12086, df = 107.99, p-value = 0.904
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -70.53207 62.42493
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1309.321 1313.375
##
##
## $L_Parsopercularis_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.9318, df = 105.6, p-value = 0.004132
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 49.56057 256.61800
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1742.304 1589.214
##
##
## $L_Parsorbitalis_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.0869, df = 109.84, p-value = 0.2794
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -13.48162 46.23162
## sample estimates:
## mean in group White mean in group Black or African Am.
## 629.5536 613.1786
##
##
## $L_Parstriangularis_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.89194, df = 109.3, p-value = 0.3744
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -45.60716 120.25002
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1311.000 1273.679
##
##
## $L_Pericalcarine_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.5708, df = 109.67, p-value = 0.01149
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 30.24662 233.78909
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1517.714 1385.696
##
##
## $L_Postcentral_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.55639, df = 108.89, p-value = 0.5791
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -146.9635 261.6778
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4056.196 3998.839
##
##
## $L_Posteriorcingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.76186, df = 101.38, p-value = 0.4479
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -94.27517 41.95374
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1175.411 1201.571
##
##
## $L_Precentral_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.2328, df = 95.842, p-value = 0.2207
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -99.53685 425.78685
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4762.321 4599.196
##
##
## $L_Precuneus_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.6316, df = 109.15, p-value = 0.1056
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -32.93888 339.79602
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3764.125 3610.696
##
##
## $L_Rostralanteriorcingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.025688, df = 109.48, p-value = 0.9796
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -62.80154 61.19439
## sample estimates:
## mean in group White mean in group Black or African Am.
## 829.4464 830.2500
##
##
## $L_Rostralmiddlefrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.0612, df = 109.32, p-value = 0.2909
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -144.3499 477.0999
## sample estimates:
## mean in group White mean in group Black or African Am.
## 5976.839 5810.464
##
##
## $L_Superiorfrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.0998, df = 109.73, p-value = 0.03804
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 19.86009 687.35419
## sample estimates:
## mean in group White mean in group Black or African Am.
## 7284.839 6931.232
##
##
## $L_Superiorparietal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.2412, df = 99.758, p-value = 0.02723
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 33.33242 547.59615
## sample estimates:
## mean in group White mean in group Black or African Am.
## 5371.232 5080.768
##
##
## $L_Superiortemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.23849, df = 109.29, p-value = 0.812
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -199.1760 156.3903
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3738.661 3760.054
##
##
## $L_Supramarginal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.36032, df = 109.52, p-value = 0.7193
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -254.0909 175.9123
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3727.929 3767.018
##
##
## $L_Frontalpole_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.5047, df = 108.93, p-value = 0.1353
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.228994 23.586137
## sample estimates:
## mean in group White mean in group Black or African Am.
## 205.2679 195.0893
##
##
## $L_Temporalpole_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.5136, df = 108, p-value = 0.1331
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -5.749455 42.892312
## sample estimates:
## mean in group White mean in group Black or African Am.
## 495.9821 477.4107
##
##
## $L_Transversetemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.0085954, df = 103.91, p-value = 0.9932
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -32.81580 33.10151
## sample estimates:
## mean in group White mean in group Black or African Am.
## 445.9107 445.7679
##
##
## $L_Insula_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.72692, df = 109.73, p-value = 0.4688
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -62.36369 134.61369
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2221.107 2184.982
##
##
## $R_Bankssts_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.24716, df = 106.1, p-value = 0.8053
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -52.78608 67.82180
## sample estimates:
## mean in group White mean in group Black or African Am.
## 959.1429 951.6250
##
##
## $R_Caudalanteriorcingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.26106, df = 108.5, p-value = 0.7945
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -66.04163 86.07734
## sample estimates:
## mean in group White mean in group Black or African Am.
## 800.2500 790.2321
##
##
## $R_Caudalmiddlefrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.7604, df = 107.94, p-value = 0.08118
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -16.92267 285.52982
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2165.982 2031.679
##
##
## $R_Cuneus_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.5078, df = 97.319, p-value = 0.0138
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 25.18573 216.27856
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1524.857 1404.125
##
##
## $R_Entorhinal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.15073, df = 109.71, p-value = 0.8805
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -27.79174 23.86316
## sample estimates:
## mean in group White mean in group Black or African Am.
## 338.8036 340.7679
##
##
## $R_Fusiform_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.5402, df = 106.83, p-value = 0.1265
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -37.6033 299.5676
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3222.054 3091.071
##
##
## $R_Inferiorparietal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.40398, df = 109.71, p-value = 0.687
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -350.1252 231.5538
## sample estimates:
## mean in group White mean in group Black or African Am.
## 5407.339 5466.625
##
##
## $R_Inferiortemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.5149, df = 109.8, p-value = 0.1327
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -39.90203 298.83060
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3203.946 3074.482
##
##
## $R_Isthmuscingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.06992, df = 109.97, p-value = 0.9444
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -57.61608 61.83036
## sample estimates:
## mean in group White mean in group Black or African Am.
## 949.9107 947.8036
##
##
## $R_Lateraloccipital_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.7446, df = 109.36, p-value = 0.007083
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 87.43289 541.81711
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4596.214 4281.589
##
##
## $R_Lateralorbitofrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.1226, df = 109.36, p-value = 0.2641
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -48.90358 176.68929
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2549.893 2486.000
##
##
## $R_Lingual_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.6552, df = 110, p-value = 0.1007
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -26.18431 291.57717
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3089.250 2956.554
##
##
## $R_Medialorbitofrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.36, df = 108.72, p-value = 0.7195
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -71.36608 103.04465
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1788.857 1773.018
##
##
## $R_Middletemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.6988, df = 107.37, p-value = 0.09225
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -24.0977 312.8834
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3450.482 3306.089
##
##
## $R_Parahippocampal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.054028, df = 104.19, p-value = 0.957
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -39.72267 37.61553
## sample estimates:
## mean in group White mean in group Black or African Am.
## 684.0179 685.0714
##
##
## $R_Paracentral_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.29361, df = 109.8, p-value = 0.7696
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -105.03720 77.93006
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1507.268 1520.821
##
##
## $R_Parsopercularis_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.9115, df = 109.9, p-value = 0.004357
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 40.49036 213.11678
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1418.929 1292.125
##
##
## $R_Parsorbitalis_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.9506, df = 107.17, p-value = 0.05371
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.6251245 77.4822674
## sample estimates:
## mean in group White mean in group Black or African Am.
## 783.4821 745.0536
##
##
## $R_Parstriangularis_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.15076, df = 109.43, p-value = 0.8804
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -86.10712 100.28569
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1527.750 1520.661
##
##
## $R_Pericalcarine_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.1593, df = 109.64, p-value = 0.033
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 9.095631 212.225797
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1661.107 1550.446
##
##
## $R_Postcentral_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.34701, df = 109.98, p-value = 0.7292
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -164.3796 234.1653
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3915.929 3881.036
##
##
## $R_Posteriorcingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.6024, df = 105.6, p-value = 0.1121
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -13.63918 128.56775
## sample estimates:
## mean in group White mean in group Black or African Am.
## 1244.589 1187.125
##
##
## $R_Precentral_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.5384, df = 105.64, p-value = 0.1269
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -51.64664 409.28950
## sample estimates:
## mean in group White mean in group Black or African Am.
## 4869.893 4691.071
##
##
## $R_Precuneus_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.8168, df = 106.46, p-value = 0.07207
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -18.25783 418.50783
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3970.339 3770.214
##
##
## $R_Rostralanteriorcingulate_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.3769, df = 109.89, p-value = 0.1713
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -17.27346 95.91632
## sample estimates:
## mean in group White mean in group Black or African Am.
## 670.0893 630.7679
##
##
## $R_Rostralmiddlefrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.64397, df = 106.24, p-value = 0.521
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -234.9571 461.0285
## sample estimates:
## mean in group White mean in group Black or African Am.
## 6152.821 6039.786
##
##
## $R_Superiorfrontal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 1.774, df = 109.29, p-value = 0.07885
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -33.95728 613.49299
## sample estimates:
## mean in group White mean in group Black or African Am.
## 7138.768 6849.000
##
##
## $R_Superiorparietal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.2099, df = 99.701, p-value = 0.0294
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 28.95055 537.58517
## sample estimates:
## mean in group White mean in group Black or African Am.
## 5383.893 5100.625
##
##
## $R_Superiortemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.23912, df = 109.99, p-value = 0.8115
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -172.6529 135.4743
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3581.911 3600.500
##
##
## $R_Supramarginal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.08714, df = 109.44, p-value = 0.9307
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -239.1316 218.9887
## sample estimates:
## mean in group White mean in group Black or African Am.
## 3607.321 3617.393
##
##
## $R_Frontalpole_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 2.8487, df = 109.34, p-value = 0.005246
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 7.042025 39.243689
## sample estimates:
## mean in group White mean in group Black or African Am.
## 278.3750 255.2321
##
##
## $R_Temporalpole_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -1.2359, df = 108.66, p-value = 0.2192
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -40.031747 9.281747
## sample estimates:
## mean in group White mean in group Black or African Am.
## 421.0536 436.4286
##
##
## $R_Transversetemporal_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = -0.76892, df = 110, p-value = 0.4436
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -30.40746 13.40746
## sample estimates:
## mean in group White mean in group Black or African Am.
## 323.5714 332.0714
##
##
## $R_Insula_Area
##
## Welch Two Sample t-test
##
## data: x by data_connectomehcp_filtered_paired_cortical_surface$Racial_identity
## t = 0.44942, df = 109.99, p-value = 0.654
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -89.50275 142.00275
## sample estimates:
## mean in group White mean in group Black or African Am.
## 2348.107 2321.857
# p-values Welch t-test analysis with non-homogeneous of variance assumption
pvalues_data_connectomehcp_filtered_paired_cortical_surface_welcht_test <- sapply(data_connectomehcp_filtered_paired_cortical_surface[c(2:69)], function(x) t.test(x ~ data_connectomehcp_filtered_paired_cortical_surface$Racial_identity, var.equal = FALSE)$p.value)
pvalues_data_connectomehcp_filtered_paired_cortical_surface_welcht_test<- as.data.frame(pvalues_data_connectomehcp_filtered_paired_cortical_surface_welcht_test) %>% dplyr::rename(pvalue=pvalues_data_connectomehcp_filtered_paired_cortical_surface_welcht_test) %>% dplyr::select(1)
## Execution of Holm-Bonferroni multiple comparison analysis
pvalues_data_connectomehcp_filtered_paired_cortical_surface_welcht_test$Holm =p.adjust(pvalues_data_connectomehcp_filtered_paired_cortical_surface_welcht_test$pvalue,method ="holm") | p-values | Holm | |
|---|---|---|
| L_Bankssts_Area | 0.7880574 | 1.0000000 |
| L_Caudalanteriorcingulate_Area | 0.1361507 | 1.0000000 |
| L_Caudalmiddlefrontal_Area | 0.2393538 | 1.0000000 |
| L_Cuneus_Area | 0.0525284 | 1.0000000 |
| L_Entorhinal_Area | 0.0981067 | 1.0000000 |
| L_Fusiform_Area | 0.6386889 | 1.0000000 |
| L_Inferiorparietal_Area | 0.8501637 | 1.0000000 |
| L_Inferiortemporal_Area | 0.0049984 | 0.3248982 |
| L_Isthmuscingulate_Area | 0.9237993 | 1.0000000 |
| L_Lateraloccipital_Area | 0.0291266 | 1.0000000 |
| L_Lateralorbitofrontal_Area | 0.1343496 | 1.0000000 |
| L_Lingual_Area | 0.0043412 | 0.2908593 |
| L_Medialorbitofrontal_Area | 0.4749954 | 1.0000000 |
| L_Middletemporal_Area | 0.1479087 | 1.0000000 |
| L_Parahippocampal_Area | 0.5842050 | 1.0000000 |
| L_Paracentral_Area | 0.9040230 | 1.0000000 |
| L_Parsopercularis_Area | 0.0041320 | 0.2809784 |
| L_Parsorbitalis_Area | 0.2794489 | 1.0000000 |
| L_Parstriangularis_Area | 0.3743829 | 1.0000000 |
| L_Pericalcarine_Area | 0.0114852 | 0.7120830 |
| L_Postcentral_Area | 0.5790882 | 1.0000000 |
| L_Posteriorcingulate_Area | 0.4479141 | 1.0000000 |
| L_Precentral_Area | 0.2206688 | 1.0000000 |
| L_Precuneus_Area | 0.1056360 | 1.0000000 |
| L_Rostralanteriorcingulate_Area | 0.9795533 | 1.0000000 |
| L_Rostralmiddlefrontal_Area | 0.2909410 | 1.0000000 |
| L_Superiorfrontal_Area | 0.0380431 | 1.0000000 |
| L_Superiorparietal_Area | 0.0272278 | 1.0000000 |
| L_Superiortemporal_Area | 0.8119512 | 1.0000000 |
| L_Supramarginal_Area | 0.7193011 | 1.0000000 |
| L_Frontalpole_Area | 0.1353072 | 1.0000000 |
| L_Temporalpole_Area | 0.1330515 | 1.0000000 |
| L_Transversetemporal_Area | 0.9931584 | 1.0000000 |
| L_Insula_Area | 0.4688239 | 1.0000000 |
| R_Bankssts_Area | 0.8052620 | 1.0000000 |
| R_Caudalanteriorcingulate_Area | 0.7945411 | 1.0000000 |
| R_Caudalmiddlefrontal_Area | 0.0811770 | 1.0000000 |
| R_Cuneus_Area | 0.0138038 | 0.8420288 |
| R_Entorhinal_Area | 0.8804687 | 1.0000000 |
| R_Fusiform_Area | 0.1264595 | 1.0000000 |
| R_Inferiorparietal_Area | 0.6870127 | 1.0000000 |
| R_Inferiortemporal_Area | 0.1326712 | 1.0000000 |
| R_Isthmuscingulate_Area | 0.9443839 | 1.0000000 |
| R_Lateraloccipital_Area | 0.0070833 | 0.4462473 |
| R_Lateralorbitofrontal_Area | 0.2640524 | 1.0000000 |
| R_Lingual_Area | 0.1007423 | 1.0000000 |
| R_Medialorbitofrontal_Area | 0.7195461 | 1.0000000 |
| R_Middletemporal_Area | 0.0922539 | 1.0000000 |
| R_Parahippocampal_Area | 0.9570161 | 1.0000000 |
| R_Paracentral_Area | 0.7696099 | 1.0000000 |
| R_Parsopercularis_Area | 0.0043569 | 0.2908593 |
| R_Parsorbitalis_Area | 0.0537140 | 1.0000000 |
| R_Parstriangularis_Area | 0.8804440 | 1.0000000 |
| R_Pericalcarine_Area | 0.0330046 | 1.0000000 |
| R_Postcentral_Area | 0.7292468 | 1.0000000 |
| R_Posteriorcingulate_Area | 0.1120627 | 1.0000000 |
| R_Precentral_Area | 0.1269485 | 1.0000000 |
| R_Precuneus_Area | 0.0720686 | 1.0000000 |
| R_Rostralanteriorcingulate_Area | 0.1713353 | 1.0000000 |
| R_Rostralmiddlefrontal_Area | 0.5209797 | 1.0000000 |
| R_Superiorfrontal_Area | 0.0788455 | 1.0000000 |
| R_Superiorparietal_Area | 0.0293995 | 1.0000000 |
| R_Superiortemporal_Area | 0.8114578 | 1.0000000 |
| R_Supramarginal_Area | 0.9307194 | 1.0000000 |
| R_Frontalpole_Area | 0.0052459 | 0.3357350 |
| R_Temporalpole_Area | 0.2191526 | 1.0000000 |
| R_Transversetemporal_Area | 0.4435908 | 1.0000000 |
| R_Insula_Area | 0.6540143 | 1.0000000 |
## [1] pvalue Holm
## <0 rows> (or 0-length row.names)
data_connectomehcp_filtered_paired_cortical_surface %>%
dplyr::rename(
"Left Banks STS" = L_Bankssts_Area,
"Left Caudal Anterior Cingulate" = L_Caudalanteriorcingulate_Area,
"Left Caudal Middle Frontal" = L_Caudalmiddlefrontal_Area,
"Left Cuneus" = L_Cuneus_Area,
"Left Entorhinal" = L_Entorhinal_Area,
"Left Fusiform" = L_Fusiform_Area,
"Left Inferior Parietal" = L_Inferiorparietal_Area,
"Left Inferior Temporal" = L_Inferiortemporal_Area,
"Left Isthmuscingulate" = L_Isthmuscingulate_Area,
"Left Lateral Occipital" = L_Lateraloccipital_Area,
"Left Lateral Orbitofrontal" = L_Lateralorbitofrontal_Area,
"Left Lingual" = L_Lingual_Area,
"Left Medialorbitofrontal" = L_Medialorbitofrontal_Area,
"Left Middletemporal" = L_Middletemporal_Area,
"Left Parahippocampal" = L_Parahippocampal_Area,
"Left Paracentral" = L_Paracentral_Area,
"Left Parsopercularis" = L_Parsopercularis_Area,
"Left Parsorbitalis" = L_Parsorbitalis_Area,
"Left Parstriangularis" = L_Parstriangularis_Area,
"Left Pericalcarine" = L_Pericalcarine_Area,
"Left Postcentral" = L_Postcentral_Area,
"Left Posterior Cingulate" = L_Posteriorcingulate_Area,
"Left Precentral" = L_Precentral_Area,
"Left Precuneus" = L_Precuneus_Area,
"Left Rostral anterior cingulate" = L_Rostralanteriorcingulate_Area,
"Left Rostral middle frontal" = L_Rostralmiddlefrontal_Area,
"Left Superior Frontal" = L_Superiorfrontal_Area,
"Left Superior Parietal" = L_Superiorparietal_Area,
"Left Superior Temporal" = L_Superiortemporal_Area,
"Left Supramarginal" = L_Supramarginal_Area,
"Left Frontal Pole" = L_Frontalpole_Area,
"Left Temporal Pole" = L_Temporalpole_Area,
"Left Transverse Temporal" = L_Transversetemporal_Area,
"Left Insula" = L_Insula_Area,
"Right Banks STS" = R_Bankssts_Area,
"Right Caudal Anterior Cingulate"= R_Caudalanteriorcingulate_Area,
"Right Caudal Middle Frontal" = R_Caudalmiddlefrontal_Area,
"Right Cuneus" = R_Cuneus_Area,
"Right Entorhinal" = R_Entorhinal_Area,
"Right Fusiform" = R_Fusiform_Area,
"Right Inferior Parietal" =R_Inferiorparietal_Area,
"Right Inferior Temporal" = R_Inferiortemporal_Area,
"Right Isthmuscingulate" = R_Isthmuscingulate_Area,
"Right Lateral Occipital" = R_Lateraloccipital_Area,
"Right Lateral Orbitofrontal" = R_Lateralorbitofrontal_Area,
"Right Lingual" = R_Lingual_Area,
"Right Medial Orbitofrontal" = R_Medialorbitofrontal_Area,
"Right Middle Temporal"= R_Middletemporal_Area,
"Right Parahippocampal" = R_Parahippocampal_Area,
"Right Paracentral" = R_Paracentral_Area,
"Right Parsopercularis"= R_Parsopercularis_Area,
"Right Parsorbitalis" = R_Parsorbitalis_Area,
"Right Parstriangularis" = R_Parstriangularis_Area,
"Right Pericalcarine" = R_Pericalcarine_Area,
"Right Postcentral" = R_Postcentral_Area,
"Right Posterior Cingulate" = R_Posteriorcingulate_Area,
"Right Precentral" = R_Precentral_Area,
"Right Precuneus" = R_Precuneus_Area,
"Right Rostral Anterior Cingulate" = R_Rostralanteriorcingulate_Area,
"Right Rostral Middle Frontal" = R_Rostralmiddlefrontal_Area,
"Right Superior Frontal" = R_Superiorfrontal_Area,
"Right Superior Parietal" = R_Superiorparietal_Area,
"Right Superior Temporal" = R_Superiortemporal_Area,
"Right Supramarginal" = R_Supramarginal_Area,
"Right Frontal Pole" = R_Frontalpole_Area,
"Right Temporal Pole" = R_Temporalpole_Area,
"Right Transverse Temporal" = R_Transversetemporal_Area,
"Right Insula" = R_Insula_Area ) %>% tbl_summary(by = Racial_identity, statistic = list(all_continuous() ~ "{mean} ({sd})"), digits = all_continuous() ~ function(x) format(x, format = "e", digits = 5)) %>% add_difference() %>% add_q(method = "holm", pvalue_fun = function(x) style_pvalue(x, digits = 3)) %>% as_gt()## add_q: Adjusting p-values with
## `stats::p.adjust(x$table_body$p.value, method = "holm")`
| Characteristic | White, N = 561 | Black or African Am., N = 561 | Difference2 | 95% CI2,3 | p-value2 | q-value4 |
|---|---|---|---|---|---|---|
| Left Banks STS | 1044.4 (193.98) | 1053.9 (181.69) | -9.6 | -80, 61 | 0.8 | >0.999 |
| Left Caudal Anterior Cingulate | 645.62 (149.40) | 691.21 (171.19) | -46 | -106, 15 | 0.14 | >0.999 |
| Left Caudal Middle Frontal | 2316.5 (385.36) | 2227.3 (411.95) | 89 | -60, 239 | 0.2 | >0.999 |
| Left Cuneus | 1471.6 (277.79) | 1379.7 (213.90) | 92 | -1.0, 185 | 0.053 | >0.999 |
| Left Entorhinal | 418.48 (87.646) | 392.04 (79.933) | 26 | -5.0, 58 | 0.10 | >0.999 |
| Left Fusiform | 3284.0 (468.98) | 3241.1 (494.38) | 43 | -138, 223 | 0.6 | >0.999 |
| Left Inferior Parietal | 4581.1 (719.89) | 4555.7 (697.13) | 25 | -240, 291 | 0.9 | >0.999 |
| Left Inferior Temporal | 3407.9 (485.12) | 3151.9 (459.97) | 256 | 79, 433 | 0.005 | 0.325 |
| Left Isthmuscingulate | 1046.1 (318.34) | 1039.6 (396.80) | 6.5 | -128, 141 | >0.9 | >0.999 |
| Left Lateral Occipital | 4688.7 (619.19) | 4432.8 (606.08) | 256 | 27, 485 | 0.029 | >0.999 |
| Left Lateral Orbitofrontal | 2601.8 (342.02) | 2511.6 (288.72) | 90 | -28, 209 | 0.13 | >0.999 |
| Left Lingual | 3081.1 (395.55) | 2863.0 (396.94) | 218 | 70, 367 | 0.004 | 0.291 |
| Left Medialorbitofrontal | 1970.0 (295.60) | 1927.6 (329.58) | 42 | -75, 160 | 0.5 | >0.999 |
| Left Middletemporal | 3081.3 (439.63) | 2960.1 (441.08) | 121 | -44, 286 | 0.15 | >0.999 |
| Left Parahippocampal | 706.38 (125.51) | 718.96 (117.08) | -13 | -58, 33 | 0.6 | >0.999 |
| Left Paracentral | 1309.3 (189.19) | 1313.4 (164.92) | -4.1 | -71, 62 | >0.9 | >0.999 |
| Left Parsopercularis | 1742.3 (303.20) | 1589.2 (246.49) | 153 | 50, 257 | 0.004 | 0.281 |
| Left Parsorbitalis | 629.55 (81.233) | 613.18 (78.176) | 16 | -13, 46 | 0.3 | >0.999 |
| Left Parstriangularis | 1311.0 (230.09) | 1273.7 (212.37) | 37 | -46, 120 | 0.4 | >0.999 |
| Left Pericalcarine | 1517.7 (279.10) | 1385.7 (264.15) | 132 | 30, 234 | 0.011 | 0.712 |
| Left Postcentral | 4056.2 (572.38) | 3998.8 (517.21) | 57 | -147, 262 | 0.6 | >0.999 |
| Left Posterior Cingulate | 1175.4 (206.50) | 1201.6 (152.93) | -26 | -94, 42 | 0.4 | >0.999 |
| Left Precentral | 4762.3 (823.82) | 4599.2 (549.39) | 163 | -100, 426 | 0.2 | >0.999 |
| Left Precuneus | 3764.1 (475.09) | 3610.7 (519.09) | 153 | -33, 340 | 0.11 | >0.999 |
| Left Rostral anterior cingulate | 829.45 (171.11) | 830.25 (159.75) | -0.80 | -63, 61 | >0.9 | >0.999 |
| Left Rostral middle frontal | 5976.8 (861.81) | 5810.5 (796.10) | 166 | -144, 477 | 0.3 | >0.999 |
| Left Superior Frontal | 7284.8 (913.00) | 6931.2 (868.67) | 354 | 20, 687 | 0.038 | >0.999 |
| Left Superior Parietal | 5371.2 (788.03) | 5080.8 (565.34) | 290 | 33, 548 | 0.027 | >0.999 |
| Left Superior Temporal | 3738.7 (493.40) | 3760.1 (455.16) | -21 | -199, 156 | 0.8 | >0.999 |
| Left Supramarginal | 3727.9 (592.74) | 3767.0 (554.73) | -39 | -254, 176 | 0.7 | >0.999 |
| Left Frontal Pole | 205.27 (37.527) | 195.09 (33.976) | 10 | -3.2, 24 | 0.14 | >0.999 |
| Left Temporal Pole | 495.98 (69.199) | 477.41 (60.350) | 19 | -5.7, 43 | 0.13 | >0.999 |
| Left Transverse Temporal | 445.91 (98.018) | 445.77 (76.559) | 0.14 | -33, 33 | >0.9 | >0.999 |
| Left Insula | 2221.1 (269.44) | 2185.0 (256.33) | 36 | -62, 135 | 0.5 | >0.999 |
| Right Banks STS | 959.14 (175.71) | 951.62 (144.70) | 7.5 | -53, 68 | 0.8 | >0.999 |
| Right Caudal Anterior Cingulate | 800.25 (190.76) | 790.23 (214.64) | 10 | -66, 86 | 0.8 | >0.999 |
| Right Caudal Middle Frontal | 2166.0 (374.76) | 2031.7 (430.70) | 134 | -17, 286 | 0.081 | >0.999 |
| Right Cuneus | 1524.9 (297.19) | 1404.1 (203.64) | 121 | 25, 216 | 0.014 | 0.842 |
| Right Entorhinal | 338.80 (70.712) | 340.77 (67.162) | -2.0 | -28, 24 | 0.9 | >0.999 |
| Right Fusiform | 3222.1 (487.21) | 3091.1 (409.40) | 131 | -38, 300 | 0.13 | >0.999 |
| Right Inferior Parietal | 5407.3 (796.12) | 5466.6 (756.46) | -59 | -350, 232 | 0.7 | >0.999 |
| Right Inferior Temporal | 3203.9 (442.37) | 3074.5 (461.85) | 129 | -40, 299 | 0.13 | >0.999 |
| Right Isthmuscingulate | 949.91 (160.81) | 947.80 (158.11) | 2.1 | -58, 62 | >0.9 | >0.999 |
| Right Lateral Occipital | 4596.2 (582.93) | 4281.6 (629.35) | 315 | 87, 542 | 0.007 | 0.446 |
| Right Lateral Orbitofrontal | 2549.9 (312.51) | 2486.0 (289.36) | 64 | -49, 177 | 0.3 | >0.999 |
| Right Lingual | 3089.2 (424.60) | 2956.6 (423.85) | 133 | -26, 292 | 0.10 | >0.999 |
| Right Medial Orbitofrontal | 1788.9 (245.13) | 1773.0 (219.82) | 16 | -71, 103 | 0.7 | >0.999 |
| Right Middle Temporal | 3450.5 (483.69) | 3306.1 (413.05) | 144 | -24, 313 | 0.092 | >0.999 |
| Right Parahippocampal | 684.02 (114.723) | 685.07 ( 90.185) | -1.1 | -40, 38 | >0.9 | >0.999 |
| Right Paracentral | 1507.3 (238.96) | 1520.8 (249.46) | -14 | -105, 78 | 0.8 | >0.999 |
| Right Parsopercularis | 1418.9 (233.89) | 1292.1 (226.98) | 127 | 40, 213 | 0.004 | 0.291 |
| Right Parsorbitalis | 783.48 (112.394) | 745.05 ( 95.406) | 38 | -0.63, 77 | 0.054 | >0.999 |
| Right Parstriangularis | 1527.8 (257.68) | 1520.7 (239.65) | 7.1 | -86, 100 | 0.9 | >0.999 |
| Right Pericalcarine | 1661.1 (278.88) | 1550.4 (263.25) | 111 | 9.1, 212 | 0.033 | >0.999 |
| Right Postcentral | 3915.9 (528.94) | 3881.0 (535.20) | 35 | -164, 234 | 0.7 | >0.999 |
| Right Posterior Cingulate | 1244.6 (208.23) | 1187.1 (169.30) | 57 | -14, 129 | 0.11 | >0.999 |
| Right Precentral | 4869.9 (674.70) | 4691.1 (549.05) | 179 | -52, 409 | 0.13 | >0.999 |
| Right Precuneus | 3970.3 (633.84) | 3770.2 (527.04) | 200 | -18, 419 | 0.072 | >0.999 |
| Right Rostral Anterior Cingulate | 670.09 (153.44) | 630.77 (148.74) | 39 | -17, 96 | 0.2 | >0.999 |
| Right Rostral Middle Frontal | 6152.8 (1012.47) | 6039.8 ( 836.83) | 113 | -235, 461 | 0.5 | >0.999 |
| Right Superior Frontal | 7138.8 (898.47) | 6849.0 (828.76) | 290 | -34, 613 | 0.079 | >0.999 |
| Right Superior Parietal | 5383.9 (779.69) | 5100.6 (558.74) | 283 | 29, 538 | 0.029 | >0.999 |
| Right Superior Temporal | 3581.9 (409.29) | 3600.5 (413.43) | -19 | -173, 135 | 0.8 | >0.999 |
| Right Supramarginal | 3607.3 (633.01) | 3617.4 (589.36) | -10 | -239, 219 | >0.9 | >0.999 |
| Right Frontal Pole | 278.38 (44.632) | 255.23 (41.278) | 23 | 7.0, 39 | 0.005 | 0.336 |
| Right Temporal Pole | 421.05 (62.057) | 436.43 (69.392) | -15 | -40, 9.3 | 0.2 | >0.999 |
| Right Transverse Temporal | 323.57 (58.445) | 332.07 (58.545) | -8.5 | -30, 13 | 0.4 | >0.999 |
| Right Insula | 2348.1 (307.35) | 2321.9 (310.78) | 26 | -90, 142 | 0.7 | >0.999 |
|
1
Mean (SD)
2
Welch Two Sample t-test
3
CI = Confidence Interval
4
Holm correction for multiple testing
|
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